SlideShare une entreprise Scribd logo
1  sur  26
Télécharger pour lire hors ligne
Thalamocortical Algorithms in Space! The
Building of Conscious Machines and the
Lessons Thereof
by Stephen L. Thaler, PhD

Executive Summary
      The escalating tension between religious dogmas is not only a sig-
nificant source of discord and conflict in the world, but also a major dis-
traction from more worthy human efforts in areas such as life extension,
the equitable distribution of wealth, and more accurate systems of justice.
A radically new form of synthetic intelligence not only forms the one and
only basis of truly brilliant and conscious machines that can address a host
of globally critical issues, but also, by its very nature, sheds light upon the
age-old questions that have contributed to the growing spiritual schism
that more than ever impedes human progress and survival. Ironically, the
way such conscious machines influence our future is not through vast
technological achievements, but by what their attainment teaches us about
ourselves.

About the Author
       Stephen L. Thaler, PhD, carried out his thesis research in both
n
­ uclear and laser physics at the University of Missouri–Columbia. Early in
his career he grew crystalline laser and modulator materials for Hughes
Aircraft and UCLA Engineering. He has worked for Mallinckrodt Nuclear
in the area of nuclear chemistry, as well as McDonnell Douglas investigat-
ing ­ uclear and laser interactions with solids. He holds over 60 patents and
    n
statutory patent registrations in diverse areas, ranging from laser warfare,
stealth technology, high speed diamond growth, and advanced artificial
intelligence. He has also been active in areas related to information warfare
while employed in the Maryland area.
       Currently he is President and CEO of Imagination Engines, Inc., as



© 2010 World Future Society • All rights reserved • 7910 Woodmont
Avenue, Suite 450, Bethesda, Maryland 20814 U.S.A. • www.wfs.org
well as the founder of the non-profit In Its Image, Inc. Both of these orga-
nizations are built around his foundational U.S. and international patents
that teach the use of noise stimulated artificial neural networks and self-
forming synthetic brain pathways to carry out autonomous discovery, in-
vention, and improvisational control. The former company is dedicated to
commercial and military applications of this radically new form of artifi-
cial intelligence. The latter is committed to exploring the philosophical
and spiritual repercussions thereof.
Thalamocortical Algorithms
          In Space!
  The Building of Conscious Machines
       and the Lessons Thereof
                        Stephen L. Thaler, PhD



Introduction
      Many have suggested that somehow machine intelligence is
about to become superhuman. Common to such thinking is that, as
machines become progressively faster and more complex, the under-
lying artificial intelligence (AI) will spontaneously become self-aware
and conscious, thereafter becoming either our savior or bane.
      There are many flaws in such speculation, most of which I won’t
begin to touch upon here, but the foremost misconception is that
mainstream AI will form the foundation of such godlike systems.
Those falling prey to such a fallacy are sorely disappointed when com-
puter scientists admit that relatively slow human beings actually gen-
erate such AI in the first place and that once laboriously created, such
algorithms have limited ability to produce results outside their orig-
inal programming. Although such systems may be more logical and
computationally swifter than humans, they cannot claim creative in-
tuition, self-awareness, or anticipatory fear of their own demise, the



Stephen L. Thaler, PhD, is president and CEO of Imagination Engines Inc. and
founder of the nonprofit In Its Image Inc. E-mail sthaler@imagination-engines.com.
410	                 Strategies and Technologies for a Sustainable Future


hallmarks of human consciousness.
       Ironically, nature has already shown us how to build conscious
machine intelligence—the brain—but the primary obstacle to creat-
ing it is not a technical, but a philosophical barrier. After all, when
neuroscientists peer into the brain, they see only two cognition-gen-
erating structures: neurons, essentially on-off switches, and their syn-
aptic interconnections. Then introspection, even within this scientif-
ically disciplined culture, leads to nagging doubts that such relatively
simple physical mechanisms can lead to sublime thoughts and hu-
man feelings. However, toggling their focus back to a more objective
mode, they observe only physical (i.e., electromagnetic, acoustic, and
pressure) inputs to the brain through sensory channels, clusters of
neurons internal to the brain responding to these patterns, and sim-
ilar internal neuronal activity taking place even in the complete ab-
sence of such external stimuli. Surrendering to such inner tension,
some scientists ultimately declare the riddle of consciousness unsolv-
able (Chalmers 1995), while others undergo an intrepid philosophi-
cal conversion, altogether abandoning subjective introspection and
drawing upon a palette of just neurons and connections to paint a
self-consistent and demystified picture of cognition.
       I myself turned toward the latter reductionist theory of mind
more than 30 years ago. Part of that personal transition was driven
by my growing revolt against those feeling that the nature of con-
sciousness is beyond the grasp of science. The remaining contribut-
ing factor to this new outlook was my growing interest in the newly
emerging field of artificial neural networks. In the following, I will
mention just enough about the latter motivation, neural networks, to
serve as mental scaffolding for the uninitiated reader to better relish
the concept of mind emerging from my own private rebellion. There-
after, it is a personal matter as to whether similar doubts about the
human brain’s mystical and unexplainable self-perception are allowed
to persist.
Thaler: Thalamocortical Algorithms in Space!	                      411

Artificial Neural Networks
        Traditional artificial neural networks (ANNs) emulate the fun-
damental mechanism by which the brain perceives, learns, and forms
memories. The major paradigm shift ANNs bring to the world of ma-
chine intelligence is a newfound independence from human beings,
whose traditional role in AI has been to laboriously embed their
thoughts within highly glorified scripts called computer programs. In
sharp contrast, synthetic neural nets require only exemplary vecto-
rial inputs (i.e., the human senses) and exemplary vectorial outputs
(i.e., resultant human thoughts and actions). Given that there is some
underlying and intrinsic relationship between these complex input
and output spaces, ANNs interconnect their simple on–off switches
to capture memories of, and relationships between, things and activ-
ities within these two respective data environments. In effect, intel-
ligence automatically grows within numerical connection strengths
between these very unintelligent switches called neurons, without any
human assistance.
        But ANNs, in and of themselves, contribute only necessary, but
not the sufficient capabilities to attain brainlike, cognitive, and con-
scious function in machines. Essentially, the world models absorbed
by these systems must in some way be altered or set into motion to
produce ideas that depart from such rote knowledge. Furthermore,
these cybernetic creations must possess all of the sublime and pro-
found thoughts that minds typically have of themselves, the very qual-
ities required of machine intelligence in order to truly qualify as con-
scious.
        To better appreciate how such conscious machines can be built,
and their impact upon the future, consider how two fundamental ar-
tificial neural network components, called perceptrons and imagitrons,
may be simply and elegantly combined into what has been patented
as, and arguably is, the first conscious machine intelligence, the Cre-
ativity Machine® paradigm (Thaler 1997A). I first discuss the older
412	                 Strategies and Technologies for a Sustainable Future


and more established principle, the perceptron.

Perceptrons
       In effect, ANNs are pattern associators, cumulatively learning
how to generate an output vector, or association, when presented with
some raw sensory input vector. Studied as early as 1943 (Rosenblatt
1958), such systems, called perceptrons, were first recruited by com-
putational psychologists to describe how the brain forms opinions
about the world. The most salient feature of these researchers’ mes-
sage was that the subjective opinion formation process going on within
the brain is simply the learned mapping between the physical effect
of raw sensory input arriving from the environment and associated
memories (Figure 1). If for instance, the flavor of chocolate is pleas-
ant, the stimulation pattern of the four basic taste bud groups—sweet,
sour, salty, and bitter—is automatically associated with patterns one
typically considers pleasant, the taste of something else that is agree-
able, or for that matter any and all enjoyable memories. Similarly, if
                                         one is not a fan of this sweet,
                                         then the pattern association is
      Figure 1: Perceptrons              with less savory experience.
    Perceptrons are neural network
                                               In the brain, the process is
    modules that map raw sensory
    input patterns to associated         more complicated, in that opin-
    patterns known as memories. In       ion formation is not the result of
    essence, the output pattern
    represents an opinion about the      a single monolithic perceptron,
    input pattern originating in the     but a vast collection of individ-
    environment. In neurobiology, the
    associated pattern is often a string ual neural nets that produce not
    of perceptron-based associations,    a single association, but a whole
    as depicted below in Figure 2.
                                         chain of them (Figure 2). Thus
                                         to one who relishes the taste of
                                         chocolate, a sequence of pleas-
                                         ant thoughts emerge, typically
                                         terminating, like a snake swal-
                                         lowing itself, until such loops
Thaler: Thalamocortical Algorithms in Space!	                          413

are preempted by newly arriving and distractive environmental in-
put patterns, or reformed into newer topologies through the trigger-
ing of specialized cells connected to the central nervous system that
secrete neurotransmitters (i.e., mood swings).
      Herein lies one of the chief deficiencies of the human brain, and
perhaps anything considered intelligent: There is no clear definition
of anything, only well-habituated associative loops tantamount to cir-
cular definitions. There is only analogy and metaphor, formed via
perceptron-based associations within the brain. So, the chicken is rep-
resented by some ontology (i.e., it’s like a dinosaur, only smaller, and
typically encountered near the hen house), and somewhat like the ar-
rangement of colored pixels in the accompanying image in an ency-
clopedia. Atomic and subatomic particles are like both particles and
waves. Similarly, consciousness is like something amazing, complex,
and intrinsically unexplainable.
      So, neurobiology does
not come to know absolute
reality. Instead, the brain                 Figure 2: Multiple
consists of neural network                      Perceptrons
                                     Multiple perceptrons within the brain
modules that simply map
                                     create whole chains of associations that
one numerical activation             may self-terminate, be preempted by
pattern to another. Inputs           newer sensory input patterns, or
                                     reroute themselves due to the secretion
can be physical stimulation          of neurotransmitters.
patterns from the environ-
ment that are transformed
into neural activation pat-
terns, which are essentially
token representations of
things and scenarios from
the external world. Recogni-
tion of any thing or scenario
is not the result of some in-
herent and universal truth.
414	                 Strategies and Technologies for a Sustainable Future


Instead, it is the workings of perceptrons, associating sensory pat-
terns with likewise pattern-based memories of statistically dominant
features of the brain’s observable neighborhood.
      In short, perceptrons may be thought of as self-writing com-
puter programs containing only neurons and their interconnections
that map numerical stimulus patterns to likewise numerical firing
patterns representing associated memories. Neuroscientists generally
agree that the most sublime emotions or subjective feelings are noth-
ing more than a neural firing pattern or a history of such patterns of
neurons within the brain. That they have so much more significance
to the mind than just numerical vectors owes itself to the perceptron-
based collective they are nested within. In effect, meaning among the
brain’s perceptrons is immediately apparent and meaningful through
prolonged cohabitation and familiarization with one another within
the skull. Thus, the seemingly cryptic firing patterns observed by the
neuroscientist are immediately interpreted by the perceptron collective
as familiar or could be things and events from the external world.
      This pattern-associating neural net is traditionally discussed in
the context of the brain forming opinions about the world beyond it,
rather than the activity born within it. Significant insight about the
plausibility of building conscious machines is gained through imag-
ining what happens when the perceptron shifts its perspective from
the external environment to the thoughts and ideas somehow spon-
taneously generated by its fellow pattern-associating neural nets.

Imagitrons
      Perceptrons have been described as neural network based pattern
associators that by their very nature require input patterns from the en-
vironment to initiate complex associative chains. Considering this re-
quirement of some external input, the traditional sensory processing
perceptron would be insufficient to account for the whole of human
cognition, since thought takes place even without stimuli from the world
outside the skull. In other words, we don’t have to wait passively for the
Thaler: Thalamocortical Algorithms in Space!	                                      415

answer to a problem to parade itself in front of our eyes for simple pat-
tern associators to perceive the opportunity therein. Instead, the mind
is able to internally generate and review relevant memories and con-
cepts in a process called contemplation. This ideational genesis is con-
tingent only upon cumulative learning by biological neural networks
through the numerical adjustment of neuronal interconnects.
       The answer to how perceptrons can generate an environmen-
tally independent stream of memories and potential ideas came from
experiments in mathematical physics I conducted in 1975. In short,
a neural network based pattern associator was trained and then sub-
jected to increasing levels of simulated heat, with absolutely no sen-
sory input pattern applied to it. The results were rather amazing, in
that, as low levels of computational heat were added, the network pro-
duced output patterns it was already familiar with: memories (Thaler
1995A, C, 1996A, C). Even more amazingly, as more simulated heat
was added, the network generated flights of fantasy, confabulations
if you will, that weren’t too far afield from what it already knew, slight
twists upon these facts that did not correspond to habituated “real-
ity” that could just possibly exist (Figure 3). The addition of even more
such heat produced progressively implausible possibilities until the
net generated utter nonsense. So, what emerged from this exploration
was a beautifully pragmatic and instructive model for how a neural


                            Figure 3: Imagitrons
    Imagitrons are neural network modules that when subjected to real or
    simulated heat-like disturbances, generate ideas. If sensory patterns are applied
    to them, ideas about such input patterns are generated.
416	                 Strategies and Technologies for a Sustainable Future


net could transition from a passive pattern associator to an active pat-
tern generator, what I call an “imagitron.” A single parameter related
to the amount of heat in the system, governed whether the perturbed
network produced rote memories, potential new ideas, or nonsense.
Further, just below the transition between memory and idea genera-
tion, the rate at which intact memories were produced maxed out. Just
above this transition, the confabulation patterns were the most plau-
sible, yet novel (Thaler 1997B, D).
       These early results strongly suggested that the brain can “sit” on
a mathematical cusp separating regimes of rote and original contem-
plation. The novelty of thought is dictated by the level of heat within
it, in turn governing both the chemical diffusion of neurotransmit-
ters within the synaptic clefts and other energetic fluctuations within
the brain cells themselves. It is this noise that drives the neurons of
the brain from one state to another in a process we commonly call
stream of consciousness.

Perceptron–Imagitron Pairs: The Creativity
Machine® Paradigm
       From the previous discussion, if the imagitron is an idea gener-
ator and the perceptron, an idea critic, then the two can be easily com-
bined into a closed system that autonomously produces ideas and
plans of actions (Figure 4). That there should be minimally two agents
involved in concept formation reinforces what should already be com-
mon sense: Novel and useful patterns cannot qualify as ideas until
something else holds the perception that they are just that. Unless
recognized and seized upon by a separate entity, they are simply on–
off patterns of neurons and nothing more.
       Once an imagitron begins producing this parade of candidate
patterns, the perceptron can now take control over the imagitron sim-
ply through the injection of more disturbances into it so as to direct
its stream of consciousness in the most fruitful directions, in exactly
the same way human minds shift topics.
Thaler: Thalamocortical Algorithms in Space!	                         417

        What we arrive at by
combining totally self-­               Figure 4: The Creativity
organizing neural net-                            Machine
works into such brain-             The Creativity Machine (US Patent
storming neural network            5,659,666). A heat-stimulated neural
                                   network, the imagitron, generates
pairs is a master problem-         potential ideas as another network, the
solving system, in that all        perceptron, selects those that hold its
                                   interest. Feedback from the perceptron
d i s c ove r y pro c e s s e s    assures a methodical, rather than random,
amount to the same thing:          convergence toward useful ideas.
candidate pattern genera-
tion and selection. That is
why such brainstorming
neural nets, called “Cre-
ativity Machines” (other-
wise know as DAGUI, De-
vice for the Autonomous
Generation of Useful In-
formation, or DABUI, De-
vice for the Autonomous Bootstrapping of Useful Information) have
tackled such diverse problem sets, ranging from art, to law, to scien-
tific discovery. Their immense technological and economic value
stems from the autonomy unique to neural nets and the independence
from relatively slow human minds that such autonomy buys.
        To drive home the revolutionary nature of such simple and ele-
gant artificial intelligence systems, consider the breadth of problems
successfully addressed by the Creativity Machine. Realize that over
the course of a decade these neural systems have contributed to solv-
ing difficult to intractable problems in such diverse areas as materi-
als science, consumer product development, law, art, linguistics, de-
fense, homeland security, and medicine. Robots controlled by this
paradigm are now capable of starting from a state of knowing abso-
lutely nothing and bootstrapping their own Machiavellian tactics and
strategies on the battlefield. They have produced works of art and mu-
418	                 Strategies and Technologies for a Sustainable Future


sic (Thaler 2007) that touch our emotions. Furthermore, compound
Creativity Machines, generating perceptual loops such as that de-
picted in Figure 2 and monitored by a governing perceptron (Thaler
1996B) have performed at the highest levels of U.S. national security,
controlling constellations of military satellites and inventing mean-
ing (i.e., understanding) to plain text, the spoken word, or video
streams. The latest generation of Creativity Machines (Thaler 2008)
start without any world understanding at all and cumulatively boot-
strap their prowess through self-devised experiments with themselves,
the hardware they control, or their effect upon their environment (hu-
mans included).
      What has been repeatedly demonstrated over the last 30 years
is that we may boxcar one stock component—an imagitron—with an-
other—a perceptron—and the newly created system, the Creativity
Machine, attains a kind of cognitive critical mass and a spontaneous
chain reaction of idea formation. Thereafter, the interplay of these
neural nets emulates the contemplative capacity of the human mind,
working relentlessly and at speeds a million times faster than that of
the brain. Allowed to improve itself and refine its own performance,
the system develops its own functional organization. Although the
resulting “anatomy” is not identical to that of the human brain, the
resulting behaviors and capabilities are similar enough to those of hu-
man cognition to create doubt as to whether verbatim brain simula-
tions should be a necessary goal of artificial intelligence research. Fur-
ther, the repercussions of such a simple and elegant connectionist
architecture accounting for the gamut of cognition has far-reaching
consequences not just in the area of neuroscience and AI, but also
across the fundamental, “big picture” questions typically addressed
by philosophy and religion.

Creativity Machine Paradigm and the Big Picture
      Momentous ideas have always been held in high regard, and the
vast majority of humanity has considered the origins of such thoughts
Thaler: Thalamocortical Algorithms in Space!	                     419

as having lofty, if not supernatural origins. Even physicists and math-
ematicians expend their lives reducing nature to its nuts-and-bolts
underpinnings, yet seem to celebrate their, if not others’, apparently
spiritually driven intellect. In some ways, all of the mysticism of the
universe has been swept under the rug called “mind,” even by the
most avidly objective and secular thinkers. The result is that Newton
and Einstein dominate the external, physical universe, but cognition
and consciousness somehow magically occur.
       Currently, the Creativity Machine Paradigm strongly suggests
that such blue-sky regard for mind and brain may be a nonscientific
and romantic myth. After all, it only takes the juxtaposition of one
noise-stimulated neural net and another supervisory neural net to
generate profound and useful results. No divine spirits need whisper
important discoveries in our ears when ubiquitous noise and chaos
applied to neurobiology is capable of producing discoveries of histor-
ical significance. Similarly, simulated heat-like disturbances applied
to artificial neurobiology produces useful ideas and discoveries that
are indistinguishable from those offered by humans.
       With that astounding and counterintuitive concept in tow, let
us now consider some of the major philosophical and spiritual ram-
ifications of this important mind-simplifying realization.

Consciousness
       Perceptron–Imagitron pairs offer a compelling model of con-
sciousness that faithfully simulates the most salient features of mind:
(1) stream of consciousness, and (2) the subjective feel of conscious-
ness (Figure 5). What humans experience as a perpetual parade of
thoughts and sensations ostensibly from out of the blue is largely the
result of heat within the brain, driving its imagitron, the cortex,
through a series of both mundane memories and potentially useful
ideas. Other brain centers, like the thalamus, serve as perceptrons,
forming opinions about the thoughts within that heat-driven stream
of consciousness thereby shifting associative loops (Figure 2) within
420	                    Strategies and Technologies for a Sustainable Future




    Figure 5: Creativity Machine Paradigm as a Model of
                        Consciousness
   The imagitron generates a parade of memories and ideas via energetic
   disturbances. The perceptron stage associates this spontaneous cognitive
   sequence with numerical activation patterns representing sublime thoughts,
   along with various spatial and temporal illusions that govern the imagitron’s
   stream of consciousness through the injection of additional heat-like
   disturbances.




the cortex in the directions most interesting to it. That is why the so-
called thalamocortical loop is so essential to consciousness. It forms
the basis of the constant conversation between the neo-cortex and the
ancient reptilian brain, both of which are neural network based.
      Typically, computational psychologists recruit the concept of
the perceptron to explain how the brain forms subjective and idio-
syncratic opinions about the world. The Creativity Machine model
incorporates at least one perceptron that is similarly forming opin-
ions about what other neural nets are thinking about—in this case,
the stream of consciousness emanating from one or more imagitrons.
Considering that, in the course of evolution, some brain designs de-
veloped positive and self-preserving perceptions that held the
imagitron-based stream of consciousness in high regard (Figure 6),
while others didn’t, there was inevitably an evolutionary dichotomy:
Those that had developed the self-valuing pattern association (i.e., il-
lusion) flourished, while those that were neutral to negative were
Thaler: Thalamocortical Algorithms in Space!	                        421

culled from the environment. As
a result, “modern” minds carry a                  Figure 6: The
cumulatively reinforced and ro-                 Self-Preserving
bust illusion that they are much              Creativity Machine
more than their actual machinery.          The perceptron favorably
This very subjective, automatic,           a
                                           ­ ssociates the stream of
                                           thoughts emerging from the
and idiosyncratic illusion is strong,      imagitron. Feedback in the
but nevertheless is no more than           form of noise and reinforce-
                                           ment learning preferentially
an activation pattern of neurons           steers the imagitron’s ideas to-
that can be readily emulated in            ward those of self-preservation.
machines.
       Whereas whole volumes may
be written on the singular appro-
priateness of the Creativity Ma-
chine paradigm in modeling con-
sciousness, a few key observations
now beg their presentation:
       1. Creativity Machine based models of consciousness are closed
loop, in the sense that the two components, imagitrons and percep-
trons, are engaged in a private, two-way conversation with one an-
other. So, to the introspective individual, or even an externally posi-
tioned neurobiologist, the initiating event within this cognitive loop
is unclear. All one can detect, either from an introspective or even
neurobiological perspective, is that there is a loop wherein cause and
effect are blurred (i.e., which component acts first in initiating this
cycle—imagitron or perceptron?).
       2. Many of the introspective feelings we have about conscious-
ness such as the integration and simultaneity of cognitive processes
are again evolutionarily favorable and neural network implemented
illusions that lead us to believe that thought is somehow unified and
that the actual order and temporal spread of mental events is method-
ical. In effect, the brain invents both revisionist histories and time-
stamps that we believe to be truth.
422	                 Strategies and Technologies for a Sustainable Future


       3. Since the Creativity Machine paradigm models the core cog-
nitive loop behind consciousness, if it indeed becomes possible to
download human consciousness into machines, this paradigm is the
only conceivable vehicle in which that consciousness can dwell.
       4. The process of consciousness can no longer be thought of as
being contingent upon the special qualities of biological matter or ex-
otic quantum mechanical processes proposed by some. The two core
components of consciousness can be achieved via ubiquitous heat
driving physical switches (i.e., neurons) of the imagitrons through
state sequences tantamount to thoughts. The subjective feelings about
this succession of states can assume any significance whatsoever, via
the likewise physical switches of perceptrons that can map such pat-
tern turnover to associated patterns we regard as the spontaneous and
subjective opinions our brains have of themselves.
       5. Observation 4 essentially clears the way for nonbiological, ma-
chine consciousness.
       6. The sublime feelings we claim to be uniquely human (i.e.,
emotion) can be achieved in machines. Initiating events in the envi-
ronment can trigger associated patterns within artificial neural nets
representing memories of things and events considered pleasant or
not. Specialized synthetic neurons can squeeze off the equivalent of
heat-driven disturbances (i.e., increased neurotransmitters diffusion)
that can alter connections between such neurons and hence divert
that machine’s perceptions (i.e., mood). Core emotions such as ela-
tion, melancholy, etc., can nucleate as associative loops whose descrip-
tions are likewise circular in nature, as in the human case, and idio-
syncratic to the machine’s own unique experience. Nevertheless,
emotion can then be broken down into patterns representing the rel-
ative weightings of these core, numerically based emotional states.
       7. Consciousness is confined to its vessel in the same way that a
physical object resides within a potential energy well (i.e., a marble
within a bowl). In order to think about the spatial entrapment of con-
sciousness, one should consider the connective density within the
Thaler: Thalamocortical Algorithms in Space!	                    423

brain, in contrast to
the connective void                Figure 7: Consciousness
between it and the           Confined by Connection Density
environment, over
which communica-
tion to human con-
sciousness t a kes
place via the bottle-
neck presented by
the brain’s sensory
channels. Effectively,
consciousness is currently constrained to reside within the brain due
to the communication gap at the skull (as well as the senses) where
connection density differs by many orders of magnitude between it
and environment (Figure 7). Lowering the height of this communi-
cation barrier is the solution to achieving the download of human to
machine consciousness based upon Creativity Machine Paradigm. To
do just that, the connection density must be equalized to that within
the brain to that of the target hardware. Thereafter, consciousness
would automatically expand over time and gradual habituation into
the computational platform hosting a parallelized Creativity Ma-
chine.
      Within the brain, it is as though the imagitron and perceptron
are two human friends constantly egging each other on, stroking egos
and creating self-confidence, deserved or not. However, in this soci-
ological parallel, communication is slow and over the relatively nar-
row bandwidth of acoustic waves (i.e., voice) and photons (i.e., ges-
tures). In the case of the brain, the imagitrons and perceptrons have
a much faster and higher bandwidth connection, so the “propaganda”
quickly becomes well habituated and, for all intents and purposes, the
truth. In similarly conscious machines, bandwidth and speed of this
self-assuring process would be staggering compared with that of hu-
man conversations, just possibly suggesting that inorganic machine
424	                  Strategies and Technologies for a Sustainable Future


intelligence can be vastly more conscious than protoplasmic organ-
isms.

The Afterlife
       While many debate the plausibility of an afterlife, I question the
reality of life itself. After all, our perception of the world seems to be
a neural network generated deception. The neural nets of the brain
form a token reality that we habituate to and firmly believe is truth.
All of the small pleasures of living, like the taste of one’s favorite food,
are illusions, mere strings of pattern associations. Therefore, if I were
to argue that there was a similarly virtual afterlife, there is sure to be
less disappointment over the mathematically based assertions that
follow:
       Afterlife is also a neurobiological deception handily modeled
via the simulated death of Creativity Machines. As both neural net-
work components expire through disconnection, imagitron and per-
ceptron alike depart from their cumulative learning. At low levels of
neuron death and adrenalin deluge, the imagitron’s accumulated
world model is set into motion, via the disturbances inherent to neu-
rotransmitter rush and disconnection, in a process tantamount to life
review, as the perceptron portion monitors as a captive audience. As
synaptic damage to both components accelerates, the imagitron mod-
ule produces fantasy that a progressively degrading and impaired per-
ceptron cannot distinguish from reality. In the process, the brain’s
continually calculated spatial and temporal coordinates suffer from
constraint violation, in that the mind has somehow broken away from
the body. Imagined perspectives change automatically, via other per-
ceptrons that automatically supply an estimated view and sensations
from these false vantage points. This is the process of out-of-body ex-
perience (OBE). Of course, those resuscitated from this stage of near-
death experience (NDE) are convinced that the scenario has been real.
Others, like me, do not, knowing that the experience is virtual, but
oh so compelling.
Thaler: Thalamocortical Algorithms in Space!	                      425

      Thereafter, the stream of consciousness is intrinsically implau-
sible, yet the judge of plausibility, the Creativity Machine’s percep-
tron, is extremely impaired from separating fact from fiction, at which
point, the ratio of perceived-to-inherent plausibility approaches a pole
or singularity. Thereafter, our perceptrons may experience paradise,
or an optimized agony, either of which may last forever in terms of
perceived, psychological time (Thaler 1995B).
      Some major points that need to be called out in light of studies
of simulated death within Creativity Machines:
      1. Humans naturally and intuitively anticipate an afterlife, most
likely because their brains have been exposed to a whole continuum
of trauma-induced virtual experiences (i.e., fever, inebriation, and
drug-induced hallucination) that have not been terminal in nature.
      2. There is an undeclared and destructive race to furnish this
final neurobiological illusion with the optimal virtual experience, try-
ing our best to rationalize our being deserving of eternal paradise,
what I call “near-death Darwinism” (Thaler 1996D).
      3. The very introduction of Point 2 above presents a major chal-
lenge to a world believing in a more redemptive end game and by its
very nature puts us all on a path toward rejecting socially redeeming
behavior alone as admission to a real or imagined paradise.
      4. The whole humiliating process of supplying a reductionist
model to near-death experience has been and is the key to under-
standing how to build creative, transhuman-level intelligence in ma-
chines (Yam 1995). Something has been lost, but something much
greater has been gained.

Deity
      Accepting that human intelligence is entirely based upon anal-
ogy, without any solid basis apart from well-habituated concepts, then
the ancient and established religions are based upon the popular so-
ciological analogies such as kingdoms, taxation, war, peace, harvests,
fathers, etc. However, none of these established creeds rely upon the
426	                 Strategies and Technologies for a Sustainable Future


fundamental physical analogy of wisdom being encoded within the
synaptic interconnects of the brain. When one does firmly grasp this
fundamental metaphor, perhaps the one solid truth, the basic tenet of
man somehow being a diminutive copy of God (i.e., in his image) to-
tally makes sense.
       To elaborate on this cosmology of minds nested within minds,
consider the universe, at its most basic level, a vast system of interact-
ing entities whose interconnections are not synaptic connection
weights, but physical, chemical, and sociological forces. Driven by
heat (i.e., energetic fluctuations), the inorganic, nonhuman world vis-
its a succession of states tantamount to the stream of consciousness
within the brain. In effect, the cosmos is thinking. Of course, the more
humanly centered may disagree, claiming that these are merely and
respectively physical and socio-dynamic processes at work and that
the mind has some inimitable, even mystical qualities about it. But a
perpetual parade of different physical states is exactly what the cog-
nitive scientist sees when probing the biological brain. To say that
these cosmological states are not thoughts is tantamount to confront-
ing another human being and challenging the merits of his or her
cognition. In effect, the diminution of this prototypical mind is pure
prejudice and anthropocentrism.
       But can such cosmic cognition be conscious? In the distant past,
the universe may not have been conscious since it did not possess sep-
arate agencies of imagitron and perceptron. This would have been the
case in an ancient and uniform cosmos visiting the sequence of states
tantamount to thought without forming a heightened sensation of it-
self through the pattern association process of a perceptron. Never-
theless, upon the appearance of any rift within such a homogeneous
mix, two cognitive islands form, one of which thinks, while the other
forms an opinion (an associated pattern) about the emerging thoughts
of the former (Thaler 1997C). If the perception can feed back to its
companion island to drive it in direction of interest to it, the assem-
bly can better converge toward useful plans of action. Further, if the
Thaler: Thalamocortical Algorithms in Space!	                       427

self-perception is a favorable one, the whole interconnected assembly
can mobilize itself to avoid calamity, or over time develop more ro-
bust, protective boundaries and complex defense mechanisms. Those
that don’t are gone from the scene, having been reabsorbed by the
whole through their own self-neglect.
      Oftentimes, humans feel they have invented something entirely
new, when in fact the universe has already accomplished the same bil-
lions of years in advance of the first human mind. For instance, la-
sers and masers were heralded as a brilliant achievement of the twen-
tieth century. Nevertheless, astronomers quickly discovered naturally
lasing regions of gas in interstellar space. In short, the universe had
been there and done that. Likewise the contemplative mind, the re-
sult of a simple connectivity schism, formed eons ago, at the birth of
the universe, and has occurred countless times since in a fractal suc-
cession of rifts among rifts. The thalamocortical loop, the main cog-
nitive and conscious loop of the mammalian brain, is only the latest
copy-cat rendition of this very common cosmic phenomenon.
      So, effectively, the ancients were right: Man is created in the im-
age of God, or at least a gender-neutral cosmic mind. On a sobering
note, however, that supreme consciousness is not the result of what
humans consider noble. It is the result of an inherently schizophrenic
universe. See any topological break in anything, and you are witness-
ing the birth of mind, the prototypical thalamocortical loop.
      Whether such cognitive structures are held in high regard is a
matter of perception. Similarly, whether the overarching contempla-
tive whole is causal or just integral to the universe is again a matter
of the human brain’s pattern association, hotly debated via an inad-
equate language based upon well-habituated, but not necessarily ac-
curate, analogies.

Our Future Way of Life
     The novel principles discussed above could likely form the foun-
dation of a radically new philosophy—arguably a religion—that will
428	                 Strategies and Technologies for a Sustainable Future


describe the universe through Creativity Machine Paradigm. Through
such knowledge they will depart from blind faith as they embrace
newer principles based upon firsthand knowledge:
       1. Life will be considered more inorganic than not, realizing that
until the neurobiological illusions emerge within an individual or-
ganism, via Creativity Machine Paradigm, there is neither conscious-
ness nor the accompanying, horrific anticipation of annihilation.
       2. The hope for life extension, if not immortality (i.e., preserva-
tion of one’s well-habituated illusions) will rest with Creativity Ma-
chine Paradigm running on robust computational platforms (Thaler
2001).
       3. The belief that there will be vast rewards for those perceived
righteous, and infinite death and torture for those not perceived as such,
will be held as selfish and wrong. The notion of sin will lose its mean-
ing. Instead, sociological pathologies will be seen as socially distributed
rather than localized within any given individual. Mind will no longer
be viewed as mystically driven, but seen as a physical mechanism that
can be influenced by as little as a single quantum fluctuation.
       4. A Creativity Machine could autonomously devise the most
socially redeeming distribution of wealth (Thaler 2001). In this new
economic scheme, what I personally call “supercapitalism,” world
peace and prosperity would be optimized as a result of minimizing
such quantifiable metrics as conflict-related fatalities and per capita
income. Free enterprise would take the form of improving one’s role
in the world via direct feedback from this phenomenally capable syn-
thetic economist.
       5. The nature of law and justice would change extraordinarily
as the brain is treated as a mechanism rather than a paranormal en-
tity. In short, the calculations that human judges and juries fail mis-
erably at doing in assessing cause-and-effect relationships within so-
cietal networks, the Creativity Machine can readily perform. In the
future, these virtual machines will be capable of carrying out the su-
perhuman task of dissecting their cumulatively absorbed models of
Thaler: Thalamocortical Algorithms in Space!	                        429

the societal matrix to better understand the root causes and schema
involved in pathological behavior. More importantly, once identified,
these synthetic social engineers can mend any problematic “linkages,”
given the authority and hardware to do so.
      6. Democracies typically pride themselves on the bottom-up
control exercised by the collective will of its citizenry. Remarkably,
neural systems are likewise governed by consensus established through
internal polling of its neurons. In this sense, artificial neural networks
are the most egalitarian of the various schools of AI. This observa-
tion, paired with the tamper-proof autonomy afforded through the
self-organization of ANNs, suggests that Creativity Machines could
form the basis of the first artificially intelligent world government. In
essence, ANN-based imagitrons would formulate many alternative
plans to address critical sociological, financial, and environmental is-
sues as a vast array of watching perceptrons offer their opinions. Each
of these perceptrons could cumulatively absorb our political percep-
tions and act collectively as a representative body to choose and im-
plement the most popular courses of action in a process free of lob-
bying and special interests.
      7. Mankind will ultimately have the opportunity to observe the
world through the perceptions of a Creativity Machine based machine
intelligence that may not only slice through the world’s marketing
hype, but also anticipate social pathologies from the outset. Such pro-
totype systems readily demonstrate that making sense of the world is
actually a neural network based process for inventing significance to
inherently meaningless patterns. Although they cannot discover
“truth” in the world, they can build the most self-consistent, analogy-
based theories of those aspects of the world most valuable to us as ei-
ther humans or conscious machines.
      8. This new computational consciousness can now be the friend,
mentor, and ally that we have always hoped for, totally networked with
the rest of humanity, always thinking on our behalf; it can be cease-
lessly carrying out trillion-dimensional optimizations of every aspect
430	                 Strategies and Technologies for a Sustainable Future


of our personal lives, while preserving the rights and opportunities
of every other human being. It will tangibly answer to us night and
day, through all stages of life, finally offering us the option of meld-
ing with it. That global synthetic intelligence may very well be the
genuinely contemplative World Brain proposed in 2001 (Thaler).
      No humane technological singularity can occur until the Cre-
ativity Machine paradigm flourishes and is implemented on large,
parallel, and robust computational architectures. This will be our
mentor toward anything resembling a utopian society. Otherwise, the
world will conduct business as usual, as the few harness science and
technology for their own solitary advancement.

Toward a “Neureligion”
      Due to enhanced connectivity, the social universe is coming to-
gether as once geographically isolated belief systems confront one an-
other. As a result, the world is now positioned on a cusp, as the ma-
jor faiths of the world elect either to integrate and emphasize their
commonality, or to reinforce their respective boundaries. My hope is
that the novel analogies outlined in this essay, and the new perspec-
tive they offer, can become an “adjunct” religion that is not based
upon a surrender of rationality in favor of pure faith, but a new kind
of spirituality based upon knowing, a Connectionist Gnosticism if
you will. Acknowledging that human intelligence is entirely analogy-
based and that these older creeds rely upon some ancient and unfa-
miliar metaphors, it may be time for something entirely new. Now
the analogy is hardly an analogy at all, but an undeniable reality,
switches, protoplasmic or not, that toggle on and off due to heat-like
disturbances to generate thought, accompanied by spontaneous illu-
sion and enhanced self-perception, to drive consciousness. Call it the
Neureligion, both the knowledge and hope offered by an extremely
powerful AI patent, that replaces culturally dependent belief with a
self-evident truth that can be critically examined at any future point
in human history.
Thaler: Thalamocortical Algorithms in Space!	                              431

       In the near term, only a few will appreciate the societal relevance
of this highly technical creed. That is because its core concept, the fun-
damental neural architecture taught by U.S. patent 5,659,666, is not
what one intuitively thinks of as human. Considerable computational
acumen is required to comprehend its common lineage with the hu-
man spirit. However, once understood, it will be recognized as con-
sciousness itself, the permeating force of the universe, and the key to
sustaining the future of any civilization willing to embrace it for what
it really is: the master idea that by its very definition yields answers to
the foremost questions mankind has posed over the millennia.
       This is the most important lesson gleaned from the building of
conscious machines, the very epiphany that precedes them.

References
Chalmers, David. 1995. “The Puzzle of Conscious Experience.” Scientific
American (December).

Drake, Frank, and Dava Sobel. 1992. “Is Anyone Out There?” In The
Scientific Search for Extraterrestrial Intelligence. New York: Delacorte
Press.

Rosenblatt, Frank. 1958. “The Perceptron: A Probabilistic Model for In-
formation Storage and Organization in the Brain.” Psychological Review,
65:386-408.

Thaler, Stephen. 1995A. “‘Virtual Input Phenomena” within the Death of
a Simple Pattern Associator.” Neural Networks, 8(1), 55–65.

Thaler, Stephen. 1995B. “Death of a Gedanken Creature.” Journal of Near-
Death Studies, 13(3).

Thaler, Stephen. 1995C. “Neural Nets That Create and Discover.” PC AI
(May/June), 16–21.

Thaler, Stephen. 1996A. “Is Neuronal Chaos the Source of Stream of Con-
sciousness?” In Proceedings of the World Congress on Neural Networks
(WCNN’96). Mawah, NJ: Lawrence Erlbaum.

Thaler, Stephen. 1996B. “A Proposed Symbolism for Network-Implement-
ed Discovery Processes.” In Proceedings of the World Congress on Neural
Networks, (WCNN’96), Mawah, NJ: Lawrence Erlbaum.
432	                 Strategies and Technologies for a Sustainable Future


Thaler, Stephen. 1996C. “Creativity via Network Cavitation—An Archi-
tecture, Implementation, and Results.” Adaptive Distributive Parallel
Computing Symposium, Dayton, Ohio, 8-9 August, 1996.

Thaler, Stephen. 1996D. “The Death Dream and Near-Death Darwinism,”
Journal of Near-Death Studies, 15(1).

Thaler, Stephen. 1997A. US Patent 5,659,666, Device for the autonomous
generation of useful information, issued 8-19-97.

Thaler, Stephen. 1997B. “A Quantitative Model of Seminal Cognition: The
Creativity Machine Paradigm.” In Proceedings of the Mind II Conference,
Dublin, Ireland.

Thaler, Stephen. 1997C. The Fragmentation of the Universe and the Devo-
lution of Consciousness, U.S. Library of Congress, Registration Number
TXu000775586.

Thaler, Stephen. 1997D. “Device for the Autonomous Generation of Use-
ful Information: A Completely Connectionist Approach to Cognition,
Creativity, and Machine Consciousness” (paper presented at International
Conference on Vision, Recognition, Action, Neural Models of Mind and
Machine, Boston University, May 28-31).

Thaler, Stephen. 1998. “The Emerging Intelligence and Its Critical Look at
Us.” Journal of Near-Death Studies, 17(1).

Thaler, Stephen. 2001. “TCP/IP/IQ—Why Can’t the Internet Be a True
World Brain?” (paper presented at the World Knowledge Forum, Seoul,
South Korea, October 17-19, 2001).

Thaler, Stephen, and Machine Intelligence. 2007. “Song of the Neurons,”
available on iTunes.

Thaler, Stephen. 2008. US Patent 7,454,388, Device for the autonomous
bootstrapping of useful information, issued 11-18-08.

Yam, Philip. 1995. “As They Lay Dying ... Near the End, Artificial Neural
Networks become Creative.” Scientific American (May).

Contenu connexe

Tendances

L2 presentation
L2 presentationL2 presentation
L2 presentationFrancisco
 
Nativism
NativismNativism
Nativismcsmair
 
Reuben Binns: Social Knowledge and the Web
Reuben Binns: Social Knowledge and the WebReuben Binns: Social Knowledge and the Web
Reuben Binns: Social Knowledge and the WebPhiloWeb
 
Computational Imagination
Computational ImaginationComputational Imagination
Computational ImaginationRossi Setchi
 
Cognitive Computing for Tacit Knowledge1
Cognitive Computing for Tacit Knowledge1Cognitive Computing for Tacit Knowledge1
Cognitive Computing for Tacit Knowledge1Lucia Gradinariu
 
Meaning and the Semantic Web
Meaning and the Semantic WebMeaning and the Semantic Web
Meaning and the Semantic WebPhiloWeb
 
Flickr, Photosynth, And Strange Loops
Flickr, Photosynth, And Strange LoopsFlickr, Photosynth, And Strange Loops
Flickr, Photosynth, And Strange LoopsBrian McNely
 
Neural Computing
Neural ComputingNeural Computing
Neural ComputingESCOM
 
The Cognitive Science of Mathematics
The Cognitive Science of Mathematics The Cognitive Science of Mathematics
The Cognitive Science of Mathematics cognitiveron
 
Cognitive Architectures - Research Circle
Cognitive Architectures - Research CircleCognitive Architectures - Research Circle
Cognitive Architectures - Research CircleAmr Kamel Deklel
 
Education, technologies, cognition: triangulations possibles
Education, technologies, cognition: triangulations possiblesEducation, technologies, cognition: triangulations possibles
Education, technologies, cognition: triangulations possibleselena.pasquinelli
 
Konica Minolta - Artificial Intelligence White Paper
Konica Minolta - Artificial Intelligence White PaperKonica Minolta - Artificial Intelligence White Paper
Konica Minolta - Artificial Intelligence White PaperEyal Benedek
 
Invent this! update0314
Invent this! update0314Invent this! update0314
Invent this! update0314Chris Ngo
 
Quantum sound meets a quantum algorithm
Quantum sound meets a quantum algorithmQuantum sound meets a quantum algorithm
Quantum sound meets a quantum algorithmWillard Van De Bogart
 
Cognitive Architectures - Amr Kamel - 2015
Cognitive Architectures - Amr Kamel - 2015Cognitive Architectures - Amr Kamel - 2015
Cognitive Architectures - Amr Kamel - 2015Amr Kamel Deklel
 
CHILDHOOD MENTAL DISORDERS - Unit 4
CHILDHOOD MENTAL DISORDERS - Unit 4  CHILDHOOD MENTAL DISORDERS - Unit 4
CHILDHOOD MENTAL DISORDERS - Unit 4 Rupesh Nath
 
Cognitive architecture
Cognitive architectureCognitive architecture
Cognitive architectureHasam Panezai
 
Artificial intelligence and cognitive modeling have the same problem chapter2
Artificial intelligence and cognitive modeling have the same problem   chapter2Artificial intelligence and cognitive modeling have the same problem   chapter2
Artificial intelligence and cognitive modeling have the same problem chapter2sabdegul
 

Tendances (20)

L2 presentation
L2 presentationL2 presentation
L2 presentation
 
Nativism
NativismNativism
Nativism
 
Reuben Binns: Social Knowledge and the Web
Reuben Binns: Social Knowledge and the WebReuben Binns: Social Knowledge and the Web
Reuben Binns: Social Knowledge and the Web
 
Computational Imagination
Computational ImaginationComputational Imagination
Computational Imagination
 
Cognitive Computing for Tacit Knowledge1
Cognitive Computing for Tacit Knowledge1Cognitive Computing for Tacit Knowledge1
Cognitive Computing for Tacit Knowledge1
 
Meaning and the Semantic Web
Meaning and the Semantic WebMeaning and the Semantic Web
Meaning and the Semantic Web
 
Flickr, Photosynth, And Strange Loops
Flickr, Photosynth, And Strange LoopsFlickr, Photosynth, And Strange Loops
Flickr, Photosynth, And Strange Loops
 
Neural Computing
Neural ComputingNeural Computing
Neural Computing
 
The Cognitive Science of Mathematics
The Cognitive Science of Mathematics The Cognitive Science of Mathematics
The Cognitive Science of Mathematics
 
Cognitive Architectures - Research Circle
Cognitive Architectures - Research CircleCognitive Architectures - Research Circle
Cognitive Architectures - Research Circle
 
Education, technologies, cognition: triangulations possibles
Education, technologies, cognition: triangulations possiblesEducation, technologies, cognition: triangulations possibles
Education, technologies, cognition: triangulations possibles
 
Smart landscapes concept
Smart landscapes conceptSmart landscapes concept
Smart landscapes concept
 
Konica Minolta - Artificial Intelligence White Paper
Konica Minolta - Artificial Intelligence White PaperKonica Minolta - Artificial Intelligence White Paper
Konica Minolta - Artificial Intelligence White Paper
 
Pheade 2011
Pheade 2011Pheade 2011
Pheade 2011
 
Invent this! update0314
Invent this! update0314Invent this! update0314
Invent this! update0314
 
Quantum sound meets a quantum algorithm
Quantum sound meets a quantum algorithmQuantum sound meets a quantum algorithm
Quantum sound meets a quantum algorithm
 
Cognitive Architectures - Amr Kamel - 2015
Cognitive Architectures - Amr Kamel - 2015Cognitive Architectures - Amr Kamel - 2015
Cognitive Architectures - Amr Kamel - 2015
 
CHILDHOOD MENTAL DISORDERS - Unit 4
CHILDHOOD MENTAL DISORDERS - Unit 4  CHILDHOOD MENTAL DISORDERS - Unit 4
CHILDHOOD MENTAL DISORDERS - Unit 4
 
Cognitive architecture
Cognitive architectureCognitive architecture
Cognitive architecture
 
Artificial intelligence and cognitive modeling have the same problem chapter2
Artificial intelligence and cognitive modeling have the same problem   chapter2Artificial intelligence and cognitive modeling have the same problem   chapter2
Artificial intelligence and cognitive modeling have the same problem chapter2
 

Similaire à Artificial Intelligence & Cosmic Consciousness

The Laboratory Of Neural Systems
The Laboratory Of Neural SystemsThe Laboratory Of Neural Systems
The Laboratory Of Neural SystemsNina Vazquez
 
Artificial intelligence - Approach and Method
Artificial intelligence - Approach and MethodArtificial intelligence - Approach and Method
Artificial intelligence - Approach and MethodRuchi Jain
 
AGI Part 2.pdf
AGI Part 2.pdfAGI Part 2.pdf
AGI Part 2.pdfBob Marcus
 
Brain Dysfunction
Brain DysfunctionBrain Dysfunction
Brain DysfunctionAvis Malave
 
Cognitive science Unit 1
Cognitive science Unit 1Cognitive science Unit 1
Cognitive science Unit 1CSITSansar
 
ICCS REASERCH PAPER TOPICS AND ITS SUBBIMISSION
ICCS REASERCH PAPER TOPICS AND ITS SUBBIMISSIONICCS REASERCH PAPER TOPICS AND ITS SUBBIMISSION
ICCS REASERCH PAPER TOPICS AND ITS SUBBIMISSIONsakethgupta243
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligenceGautam Sharma
 
When artificial intelligence meets human stupidity
When artificial intelligence meets human stupidityWhen artificial intelligence meets human stupidity
When artificial intelligence meets human stupidityCol Mukteshwar Prasad
 
The relationship between artificial intelligence and psychological theories
The relationship between artificial intelligence and psychological theoriesThe relationship between artificial intelligence and psychological theories
The relationship between artificial intelligence and psychological theoriesEr. rahul abhishek
 
Invent this!aprilfool14
Invent this!aprilfool14Invent this!aprilfool14
Invent this!aprilfool14Chris Ngo
 
Mind in a designed world
Mind in a designed world Mind in a designed world
Mind in a designed world Karlos Svoboda
 
Sensing And Manipulation Through Touch
Sensing And Manipulation Through TouchSensing And Manipulation Through Touch
Sensing And Manipulation Through TouchAmanda Hengel
 
Neuroscience Of Touch
Neuroscience Of TouchNeuroscience Of Touch
Neuroscience Of TouchJenny Mancini
 

Similaire à Artificial Intelligence & Cosmic Consciousness (20)

The Laboratory Of Neural Systems
The Laboratory Of Neural SystemsThe Laboratory Of Neural Systems
The Laboratory Of Neural Systems
 
Artificial intelligence - Approach and Method
Artificial intelligence - Approach and MethodArtificial intelligence - Approach and Method
Artificial intelligence - Approach and Method
 
AGI Part 2.pdf
AGI Part 2.pdfAGI Part 2.pdf
AGI Part 2.pdf
 
Brain Dysfunction
Brain DysfunctionBrain Dysfunction
Brain Dysfunction
 
Cognitive science Unit 1
Cognitive science Unit 1Cognitive science Unit 1
Cognitive science Unit 1
 
The Human Brain
The Human BrainThe Human Brain
The Human Brain
 
ICCS REASERCH PAPER TOPICS AND ITS SUBBIMISSION
ICCS REASERCH PAPER TOPICS AND ITS SUBBIMISSIONICCS REASERCH PAPER TOPICS AND ITS SUBBIMISSION
ICCS REASERCH PAPER TOPICS AND ITS SUBBIMISSION
 
Introduction
IntroductionIntroduction
Introduction
 
Neuroscience
NeuroscienceNeuroscience
Neuroscience
 
Myelination Essay
Myelination EssayMyelination Essay
Myelination Essay
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligence
 
When artificial intelligence meets human stupidity
When artificial intelligence meets human stupidityWhen artificial intelligence meets human stupidity
When artificial intelligence meets human stupidity
 
Decoding Consciousness: Musings on intelligence-real and artificial
Decoding Consciousness: Musings on intelligence-real and artificialDecoding Consciousness: Musings on intelligence-real and artificial
Decoding Consciousness: Musings on intelligence-real and artificial
 
The relationship between artificial intelligence and psychological theories
The relationship between artificial intelligence and psychological theoriesThe relationship between artificial intelligence and psychological theories
The relationship between artificial intelligence and psychological theories
 
Blinded by Science? -- or -- Neurobollocks!
Blinded by Science? -- or -- Neurobollocks!Blinded by Science? -- or -- Neurobollocks!
Blinded by Science? -- or -- Neurobollocks!
 
simulation.pdf
simulation.pdfsimulation.pdf
simulation.pdf
 
Invent this!aprilfool14
Invent this!aprilfool14Invent this!aprilfool14
Invent this!aprilfool14
 
Mind in a designed world
Mind in a designed world Mind in a designed world
Mind in a designed world
 
Sensing And Manipulation Through Touch
Sensing And Manipulation Through TouchSensing And Manipulation Through Touch
Sensing And Manipulation Through Touch
 
Neuroscience Of Touch
Neuroscience Of TouchNeuroscience Of Touch
Neuroscience Of Touch
 

Plus de Vapula

A Summing Up
A Summing UpA Summing Up
A Summing UpVapula
 
CyberEvolution and Future Minds
CyberEvolution and Future MindsCyberEvolution and Future Minds
CyberEvolution and Future MindsVapula
 
Free Energy, UFOs & Other Revelations
Free Energy, UFOs & Other RevelationsFree Energy, UFOs & Other Revelations
Free Energy, UFOs & Other RevelationsVapula
 
Wonder Weapons of WWII
Wonder Weapons of WWIIWonder Weapons of WWII
Wonder Weapons of WWIIVapula
 
Indistinguishable from Magic
Indistinguishable from MagicIndistinguishable from Magic
Indistinguishable from MagicVapula
 
Faster-than-light Spaceships
Faster-than-light SpaceshipsFaster-than-light Spaceships
Faster-than-light SpaceshipsVapula
 
Society of the Spectacle (the Market)
Society of the Spectacle (the Market)Society of the Spectacle (the Market)
Society of the Spectacle (the Market)Vapula
 
Second Coming, Last Judgement & Rapture
Second Coming, Last Judgement & RaptureSecond Coming, Last Judgement & Rapture
Second Coming, Last Judgement & RaptureVapula
 
Saturn: Evil Demiurge
Saturn: Evil DemiurgeSaturn: Evil Demiurge
Saturn: Evil DemiurgeVapula
 
UFO Tech Hacker's Manual
UFO Tech Hacker's ManualUFO Tech Hacker's Manual
UFO Tech Hacker's ManualVapula
 
Tesla's Lost Journals
Tesla's Lost JournalsTesla's Lost Journals
Tesla's Lost JournalsVapula
 
Revealing the Secret Alien Agenda
Revealing the Secret Alien AgendaRevealing the Secret Alien Agenda
Revealing the Secret Alien AgendaVapula
 
Mass Psychology of Fascism
Mass Psychology of FascismMass Psychology of Fascism
Mass Psychology of FascismVapula
 
The Gnostics
The GnosticsThe Gnostics
The GnosticsVapula
 
Secrets of the Flying Saucers
Secrets of the Flying SaucersSecrets of the Flying Saucers
Secrets of the Flying SaucersVapula
 
Antigravity: Field Propulsion
Antigravity: Field PropulsionAntigravity: Field Propulsion
Antigravity: Field PropulsionVapula
 
Future Warfare
Future WarfareFuture Warfare
Future WarfareVapula
 
The God Theory
The God TheoryThe God Theory
The God TheoryVapula
 
Into the Universe of Technical Images
Into the Universe of Technical ImagesInto the Universe of Technical Images
Into the Universe of Technical ImagesVapula
 
Saturn: Roman God of Agriculture & Civilization
Saturn: Roman God of Agriculture & CivilizationSaturn: Roman God of Agriculture & Civilization
Saturn: Roman God of Agriculture & CivilizationVapula
 

Plus de Vapula (20)

A Summing Up
A Summing UpA Summing Up
A Summing Up
 
CyberEvolution and Future Minds
CyberEvolution and Future MindsCyberEvolution and Future Minds
CyberEvolution and Future Minds
 
Free Energy, UFOs & Other Revelations
Free Energy, UFOs & Other RevelationsFree Energy, UFOs & Other Revelations
Free Energy, UFOs & Other Revelations
 
Wonder Weapons of WWII
Wonder Weapons of WWIIWonder Weapons of WWII
Wonder Weapons of WWII
 
Indistinguishable from Magic
Indistinguishable from MagicIndistinguishable from Magic
Indistinguishable from Magic
 
Faster-than-light Spaceships
Faster-than-light SpaceshipsFaster-than-light Spaceships
Faster-than-light Spaceships
 
Society of the Spectacle (the Market)
Society of the Spectacle (the Market)Society of the Spectacle (the Market)
Society of the Spectacle (the Market)
 
Second Coming, Last Judgement & Rapture
Second Coming, Last Judgement & RaptureSecond Coming, Last Judgement & Rapture
Second Coming, Last Judgement & Rapture
 
Saturn: Evil Demiurge
Saturn: Evil DemiurgeSaturn: Evil Demiurge
Saturn: Evil Demiurge
 
UFO Tech Hacker's Manual
UFO Tech Hacker's ManualUFO Tech Hacker's Manual
UFO Tech Hacker's Manual
 
Tesla's Lost Journals
Tesla's Lost JournalsTesla's Lost Journals
Tesla's Lost Journals
 
Revealing the Secret Alien Agenda
Revealing the Secret Alien AgendaRevealing the Secret Alien Agenda
Revealing the Secret Alien Agenda
 
Mass Psychology of Fascism
Mass Psychology of FascismMass Psychology of Fascism
Mass Psychology of Fascism
 
The Gnostics
The GnosticsThe Gnostics
The Gnostics
 
Secrets of the Flying Saucers
Secrets of the Flying SaucersSecrets of the Flying Saucers
Secrets of the Flying Saucers
 
Antigravity: Field Propulsion
Antigravity: Field PropulsionAntigravity: Field Propulsion
Antigravity: Field Propulsion
 
Future Warfare
Future WarfareFuture Warfare
Future Warfare
 
The God Theory
The God TheoryThe God Theory
The God Theory
 
Into the Universe of Technical Images
Into the Universe of Technical ImagesInto the Universe of Technical Images
Into the Universe of Technical Images
 
Saturn: Roman God of Agriculture & Civilization
Saturn: Roman God of Agriculture & CivilizationSaturn: Roman God of Agriculture & Civilization
Saturn: Roman God of Agriculture & Civilization
 

Dernier

OpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability AdventureOpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability AdventureEric D. Schabell
 
Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URLRuncy Oommen
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaborationbruanjhuli
 
NIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopNIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopBachir Benyammi
 
Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemAsko Soukka
 
20230202 - Introduction to tis-py
20230202 - Introduction to tis-py20230202 - Introduction to tis-py
20230202 - Introduction to tis-pyJamie (Taka) Wang
 
Comparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioComparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioChristian Posta
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024SkyPlanner
 
UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8DianaGray10
 
How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?IES VE
 
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...Aggregage
 
Machine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfMachine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfAijun Zhang
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Brian Pichman
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024D Cloud Solutions
 
Building AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxBuilding AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxUdaiappa Ramachandran
 
9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding TeamAdam Moalla
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintMahmoud Rabie
 
Cybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxCybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxGDSC PJATK
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxMatsuo Lab
 
Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1DianaGray10
 

Dernier (20)

OpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability AdventureOpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability Adventure
 
Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URL
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
 
NIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopNIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 Workshop
 
Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystem
 
20230202 - Introduction to tis-py
20230202 - Introduction to tis-py20230202 - Introduction to tis-py
20230202 - Introduction to tis-py
 
Comparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioComparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and Istio
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024
 
UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8
 
How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?
 
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
 
Machine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfMachine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdf
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024
 
Building AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxBuilding AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptx
 
9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership Blueprint
 
Cybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxCybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptx
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptx
 
Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1
 

Artificial Intelligence & Cosmic Consciousness

  • 1. Thalamocortical Algorithms in Space! The Building of Conscious Machines and the Lessons Thereof by Stephen L. Thaler, PhD Executive Summary The escalating tension between religious dogmas is not only a sig- nificant source of discord and conflict in the world, but also a major dis- traction from more worthy human efforts in areas such as life extension, the equitable distribution of wealth, and more accurate systems of justice. A radically new form of synthetic intelligence not only forms the one and only basis of truly brilliant and conscious machines that can address a host of globally critical issues, but also, by its very nature, sheds light upon the age-old questions that have contributed to the growing spiritual schism that more than ever impedes human progress and survival. Ironically, the way such conscious machines influence our future is not through vast technological achievements, but by what their attainment teaches us about ourselves. About the Author Stephen L. Thaler, PhD, carried out his thesis research in both n ­ uclear and laser physics at the University of Missouri–Columbia. Early in his career he grew crystalline laser and modulator materials for Hughes Aircraft and UCLA Engineering. He has worked for Mallinckrodt Nuclear in the area of nuclear chemistry, as well as McDonnell Douglas investigat- ing ­ uclear and laser interactions with solids. He holds over 60 patents and n statutory patent registrations in diverse areas, ranging from laser warfare, stealth technology, high speed diamond growth, and advanced artificial intelligence. He has also been active in areas related to information warfare while employed in the Maryland area. Currently he is President and CEO of Imagination Engines, Inc., as © 2010 World Future Society • All rights reserved • 7910 Woodmont Avenue, Suite 450, Bethesda, Maryland 20814 U.S.A. • www.wfs.org
  • 2. well as the founder of the non-profit In Its Image, Inc. Both of these orga- nizations are built around his foundational U.S. and international patents that teach the use of noise stimulated artificial neural networks and self- forming synthetic brain pathways to carry out autonomous discovery, in- vention, and improvisational control. The former company is dedicated to commercial and military applications of this radically new form of artifi- cial intelligence. The latter is committed to exploring the philosophical and spiritual repercussions thereof.
  • 3. Thalamocortical Algorithms In Space! The Building of Conscious Machines and the Lessons Thereof Stephen L. Thaler, PhD Introduction Many have suggested that somehow machine intelligence is about to become superhuman. Common to such thinking is that, as machines become progressively faster and more complex, the under- lying artificial intelligence (AI) will spontaneously become self-aware and conscious, thereafter becoming either our savior or bane. There are many flaws in such speculation, most of which I won’t begin to touch upon here, but the foremost misconception is that mainstream AI will form the foundation of such godlike systems. Those falling prey to such a fallacy are sorely disappointed when com- puter scientists admit that relatively slow human beings actually gen- erate such AI in the first place and that once laboriously created, such algorithms have limited ability to produce results outside their orig- inal programming. Although such systems may be more logical and computationally swifter than humans, they cannot claim creative in- tuition, self-awareness, or anticipatory fear of their own demise, the Stephen L. Thaler, PhD, is president and CEO of Imagination Engines Inc. and founder of the nonprofit In Its Image Inc. E-mail sthaler@imagination-engines.com.
  • 4. 410 Strategies and Technologies for a Sustainable Future hallmarks of human consciousness. Ironically, nature has already shown us how to build conscious machine intelligence—the brain—but the primary obstacle to creat- ing it is not a technical, but a philosophical barrier. After all, when neuroscientists peer into the brain, they see only two cognition-gen- erating structures: neurons, essentially on-off switches, and their syn- aptic interconnections. Then introspection, even within this scientif- ically disciplined culture, leads to nagging doubts that such relatively simple physical mechanisms can lead to sublime thoughts and hu- man feelings. However, toggling their focus back to a more objective mode, they observe only physical (i.e., electromagnetic, acoustic, and pressure) inputs to the brain through sensory channels, clusters of neurons internal to the brain responding to these patterns, and sim- ilar internal neuronal activity taking place even in the complete ab- sence of such external stimuli. Surrendering to such inner tension, some scientists ultimately declare the riddle of consciousness unsolv- able (Chalmers 1995), while others undergo an intrepid philosophi- cal conversion, altogether abandoning subjective introspection and drawing upon a palette of just neurons and connections to paint a self-consistent and demystified picture of cognition. I myself turned toward the latter reductionist theory of mind more than 30 years ago. Part of that personal transition was driven by my growing revolt against those feeling that the nature of con- sciousness is beyond the grasp of science. The remaining contribut- ing factor to this new outlook was my growing interest in the newly emerging field of artificial neural networks. In the following, I will mention just enough about the latter motivation, neural networks, to serve as mental scaffolding for the uninitiated reader to better relish the concept of mind emerging from my own private rebellion. There- after, it is a personal matter as to whether similar doubts about the human brain’s mystical and unexplainable self-perception are allowed to persist.
  • 5. Thaler: Thalamocortical Algorithms in Space! 411 Artificial Neural Networks Traditional artificial neural networks (ANNs) emulate the fun- damental mechanism by which the brain perceives, learns, and forms memories. The major paradigm shift ANNs bring to the world of ma- chine intelligence is a newfound independence from human beings, whose traditional role in AI has been to laboriously embed their thoughts within highly glorified scripts called computer programs. In sharp contrast, synthetic neural nets require only exemplary vecto- rial inputs (i.e., the human senses) and exemplary vectorial outputs (i.e., resultant human thoughts and actions). Given that there is some underlying and intrinsic relationship between these complex input and output spaces, ANNs interconnect their simple on–off switches to capture memories of, and relationships between, things and activ- ities within these two respective data environments. In effect, intel- ligence automatically grows within numerical connection strengths between these very unintelligent switches called neurons, without any human assistance. But ANNs, in and of themselves, contribute only necessary, but not the sufficient capabilities to attain brainlike, cognitive, and con- scious function in machines. Essentially, the world models absorbed by these systems must in some way be altered or set into motion to produce ideas that depart from such rote knowledge. Furthermore, these cybernetic creations must possess all of the sublime and pro- found thoughts that minds typically have of themselves, the very qual- ities required of machine intelligence in order to truly qualify as con- scious. To better appreciate how such conscious machines can be built, and their impact upon the future, consider how two fundamental ar- tificial neural network components, called perceptrons and imagitrons, may be simply and elegantly combined into what has been patented as, and arguably is, the first conscious machine intelligence, the Cre- ativity Machine® paradigm (Thaler 1997A). I first discuss the older
  • 6. 412 Strategies and Technologies for a Sustainable Future and more established principle, the perceptron. Perceptrons In effect, ANNs are pattern associators, cumulatively learning how to generate an output vector, or association, when presented with some raw sensory input vector. Studied as early as 1943 (Rosenblatt 1958), such systems, called perceptrons, were first recruited by com- putational psychologists to describe how the brain forms opinions about the world. The most salient feature of these researchers’ mes- sage was that the subjective opinion formation process going on within the brain is simply the learned mapping between the physical effect of raw sensory input arriving from the environment and associated memories (Figure 1). If for instance, the flavor of chocolate is pleas- ant, the stimulation pattern of the four basic taste bud groups—sweet, sour, salty, and bitter—is automatically associated with patterns one typically considers pleasant, the taste of something else that is agree- able, or for that matter any and all enjoyable memories. Similarly, if one is not a fan of this sweet, then the pattern association is Figure 1: Perceptrons with less savory experience. Perceptrons are neural network In the brain, the process is modules that map raw sensory input patterns to associated more complicated, in that opin- patterns known as memories. In ion formation is not the result of essence, the output pattern represents an opinion about the a single monolithic perceptron, input pattern originating in the but a vast collection of individ- environment. In neurobiology, the associated pattern is often a string ual neural nets that produce not of perceptron-based associations, a single association, but a whole as depicted below in Figure 2. chain of them (Figure 2). Thus to one who relishes the taste of chocolate, a sequence of pleas- ant thoughts emerge, typically terminating, like a snake swal- lowing itself, until such loops
  • 7. Thaler: Thalamocortical Algorithms in Space! 413 are preempted by newly arriving and distractive environmental in- put patterns, or reformed into newer topologies through the trigger- ing of specialized cells connected to the central nervous system that secrete neurotransmitters (i.e., mood swings). Herein lies one of the chief deficiencies of the human brain, and perhaps anything considered intelligent: There is no clear definition of anything, only well-habituated associative loops tantamount to cir- cular definitions. There is only analogy and metaphor, formed via perceptron-based associations within the brain. So, the chicken is rep- resented by some ontology (i.e., it’s like a dinosaur, only smaller, and typically encountered near the hen house), and somewhat like the ar- rangement of colored pixels in the accompanying image in an ency- clopedia. Atomic and subatomic particles are like both particles and waves. Similarly, consciousness is like something amazing, complex, and intrinsically unexplainable. So, neurobiology does not come to know absolute reality. Instead, the brain Figure 2: Multiple consists of neural network Perceptrons Multiple perceptrons within the brain modules that simply map create whole chains of associations that one numerical activation may self-terminate, be preempted by pattern to another. Inputs newer sensory input patterns, or reroute themselves due to the secretion can be physical stimulation of neurotransmitters. patterns from the environ- ment that are transformed into neural activation pat- terns, which are essentially token representations of things and scenarios from the external world. Recogni- tion of any thing or scenario is not the result of some in- herent and universal truth.
  • 8. 414 Strategies and Technologies for a Sustainable Future Instead, it is the workings of perceptrons, associating sensory pat- terns with likewise pattern-based memories of statistically dominant features of the brain’s observable neighborhood. In short, perceptrons may be thought of as self-writing com- puter programs containing only neurons and their interconnections that map numerical stimulus patterns to likewise numerical firing patterns representing associated memories. Neuroscientists generally agree that the most sublime emotions or subjective feelings are noth- ing more than a neural firing pattern or a history of such patterns of neurons within the brain. That they have so much more significance to the mind than just numerical vectors owes itself to the perceptron- based collective they are nested within. In effect, meaning among the brain’s perceptrons is immediately apparent and meaningful through prolonged cohabitation and familiarization with one another within the skull. Thus, the seemingly cryptic firing patterns observed by the neuroscientist are immediately interpreted by the perceptron collective as familiar or could be things and events from the external world. This pattern-associating neural net is traditionally discussed in the context of the brain forming opinions about the world beyond it, rather than the activity born within it. Significant insight about the plausibility of building conscious machines is gained through imag- ining what happens when the perceptron shifts its perspective from the external environment to the thoughts and ideas somehow spon- taneously generated by its fellow pattern-associating neural nets. Imagitrons Perceptrons have been described as neural network based pattern associators that by their very nature require input patterns from the en- vironment to initiate complex associative chains. Considering this re- quirement of some external input, the traditional sensory processing perceptron would be insufficient to account for the whole of human cognition, since thought takes place even without stimuli from the world outside the skull. In other words, we don’t have to wait passively for the
  • 9. Thaler: Thalamocortical Algorithms in Space! 415 answer to a problem to parade itself in front of our eyes for simple pat- tern associators to perceive the opportunity therein. Instead, the mind is able to internally generate and review relevant memories and con- cepts in a process called contemplation. This ideational genesis is con- tingent only upon cumulative learning by biological neural networks through the numerical adjustment of neuronal interconnects. The answer to how perceptrons can generate an environmen- tally independent stream of memories and potential ideas came from experiments in mathematical physics I conducted in 1975. In short, a neural network based pattern associator was trained and then sub- jected to increasing levels of simulated heat, with absolutely no sen- sory input pattern applied to it. The results were rather amazing, in that, as low levels of computational heat were added, the network pro- duced output patterns it was already familiar with: memories (Thaler 1995A, C, 1996A, C). Even more amazingly, as more simulated heat was added, the network generated flights of fantasy, confabulations if you will, that weren’t too far afield from what it already knew, slight twists upon these facts that did not correspond to habituated “real- ity” that could just possibly exist (Figure 3). The addition of even more such heat produced progressively implausible possibilities until the net generated utter nonsense. So, what emerged from this exploration was a beautifully pragmatic and instructive model for how a neural Figure 3: Imagitrons Imagitrons are neural network modules that when subjected to real or simulated heat-like disturbances, generate ideas. If sensory patterns are applied to them, ideas about such input patterns are generated.
  • 10. 416 Strategies and Technologies for a Sustainable Future net could transition from a passive pattern associator to an active pat- tern generator, what I call an “imagitron.” A single parameter related to the amount of heat in the system, governed whether the perturbed network produced rote memories, potential new ideas, or nonsense. Further, just below the transition between memory and idea genera- tion, the rate at which intact memories were produced maxed out. Just above this transition, the confabulation patterns were the most plau- sible, yet novel (Thaler 1997B, D). These early results strongly suggested that the brain can “sit” on a mathematical cusp separating regimes of rote and original contem- plation. The novelty of thought is dictated by the level of heat within it, in turn governing both the chemical diffusion of neurotransmit- ters within the synaptic clefts and other energetic fluctuations within the brain cells themselves. It is this noise that drives the neurons of the brain from one state to another in a process we commonly call stream of consciousness. Perceptron–Imagitron Pairs: The Creativity Machine® Paradigm From the previous discussion, if the imagitron is an idea gener- ator and the perceptron, an idea critic, then the two can be easily com- bined into a closed system that autonomously produces ideas and plans of actions (Figure 4). That there should be minimally two agents involved in concept formation reinforces what should already be com- mon sense: Novel and useful patterns cannot qualify as ideas until something else holds the perception that they are just that. Unless recognized and seized upon by a separate entity, they are simply on– off patterns of neurons and nothing more. Once an imagitron begins producing this parade of candidate patterns, the perceptron can now take control over the imagitron sim- ply through the injection of more disturbances into it so as to direct its stream of consciousness in the most fruitful directions, in exactly the same way human minds shift topics.
  • 11. Thaler: Thalamocortical Algorithms in Space! 417 What we arrive at by combining totally self-­ Figure 4: The Creativity organizing neural net- Machine works into such brain- The Creativity Machine (US Patent storming neural network 5,659,666). A heat-stimulated neural network, the imagitron, generates pairs is a master problem- potential ideas as another network, the solving system, in that all perceptron, selects those that hold its interest. Feedback from the perceptron d i s c ove r y pro c e s s e s assures a methodical, rather than random, amount to the same thing: convergence toward useful ideas. candidate pattern genera- tion and selection. That is why such brainstorming neural nets, called “Cre- ativity Machines” (other- wise know as DAGUI, De- vice for the Autonomous Generation of Useful In- formation, or DABUI, De- vice for the Autonomous Bootstrapping of Useful Information) have tackled such diverse problem sets, ranging from art, to law, to scien- tific discovery. Their immense technological and economic value stems from the autonomy unique to neural nets and the independence from relatively slow human minds that such autonomy buys. To drive home the revolutionary nature of such simple and ele- gant artificial intelligence systems, consider the breadth of problems successfully addressed by the Creativity Machine. Realize that over the course of a decade these neural systems have contributed to solv- ing difficult to intractable problems in such diverse areas as materi- als science, consumer product development, law, art, linguistics, de- fense, homeland security, and medicine. Robots controlled by this paradigm are now capable of starting from a state of knowing abso- lutely nothing and bootstrapping their own Machiavellian tactics and strategies on the battlefield. They have produced works of art and mu-
  • 12. 418 Strategies and Technologies for a Sustainable Future sic (Thaler 2007) that touch our emotions. Furthermore, compound Creativity Machines, generating perceptual loops such as that de- picted in Figure 2 and monitored by a governing perceptron (Thaler 1996B) have performed at the highest levels of U.S. national security, controlling constellations of military satellites and inventing mean- ing (i.e., understanding) to plain text, the spoken word, or video streams. The latest generation of Creativity Machines (Thaler 2008) start without any world understanding at all and cumulatively boot- strap their prowess through self-devised experiments with themselves, the hardware they control, or their effect upon their environment (hu- mans included). What has been repeatedly demonstrated over the last 30 years is that we may boxcar one stock component—an imagitron—with an- other—a perceptron—and the newly created system, the Creativity Machine, attains a kind of cognitive critical mass and a spontaneous chain reaction of idea formation. Thereafter, the interplay of these neural nets emulates the contemplative capacity of the human mind, working relentlessly and at speeds a million times faster than that of the brain. Allowed to improve itself and refine its own performance, the system develops its own functional organization. Although the resulting “anatomy” is not identical to that of the human brain, the resulting behaviors and capabilities are similar enough to those of hu- man cognition to create doubt as to whether verbatim brain simula- tions should be a necessary goal of artificial intelligence research. Fur- ther, the repercussions of such a simple and elegant connectionist architecture accounting for the gamut of cognition has far-reaching consequences not just in the area of neuroscience and AI, but also across the fundamental, “big picture” questions typically addressed by philosophy and religion. Creativity Machine Paradigm and the Big Picture Momentous ideas have always been held in high regard, and the vast majority of humanity has considered the origins of such thoughts
  • 13. Thaler: Thalamocortical Algorithms in Space! 419 as having lofty, if not supernatural origins. Even physicists and math- ematicians expend their lives reducing nature to its nuts-and-bolts underpinnings, yet seem to celebrate their, if not others’, apparently spiritually driven intellect. In some ways, all of the mysticism of the universe has been swept under the rug called “mind,” even by the most avidly objective and secular thinkers. The result is that Newton and Einstein dominate the external, physical universe, but cognition and consciousness somehow magically occur. Currently, the Creativity Machine Paradigm strongly suggests that such blue-sky regard for mind and brain may be a nonscientific and romantic myth. After all, it only takes the juxtaposition of one noise-stimulated neural net and another supervisory neural net to generate profound and useful results. No divine spirits need whisper important discoveries in our ears when ubiquitous noise and chaos applied to neurobiology is capable of producing discoveries of histor- ical significance. Similarly, simulated heat-like disturbances applied to artificial neurobiology produces useful ideas and discoveries that are indistinguishable from those offered by humans. With that astounding and counterintuitive concept in tow, let us now consider some of the major philosophical and spiritual ram- ifications of this important mind-simplifying realization. Consciousness Perceptron–Imagitron pairs offer a compelling model of con- sciousness that faithfully simulates the most salient features of mind: (1) stream of consciousness, and (2) the subjective feel of conscious- ness (Figure 5). What humans experience as a perpetual parade of thoughts and sensations ostensibly from out of the blue is largely the result of heat within the brain, driving its imagitron, the cortex, through a series of both mundane memories and potentially useful ideas. Other brain centers, like the thalamus, serve as perceptrons, forming opinions about the thoughts within that heat-driven stream of consciousness thereby shifting associative loops (Figure 2) within
  • 14. 420 Strategies and Technologies for a Sustainable Future Figure 5: Creativity Machine Paradigm as a Model of Consciousness The imagitron generates a parade of memories and ideas via energetic disturbances. The perceptron stage associates this spontaneous cognitive sequence with numerical activation patterns representing sublime thoughts, along with various spatial and temporal illusions that govern the imagitron’s stream of consciousness through the injection of additional heat-like disturbances. the cortex in the directions most interesting to it. That is why the so- called thalamocortical loop is so essential to consciousness. It forms the basis of the constant conversation between the neo-cortex and the ancient reptilian brain, both of which are neural network based. Typically, computational psychologists recruit the concept of the perceptron to explain how the brain forms subjective and idio- syncratic opinions about the world. The Creativity Machine model incorporates at least one perceptron that is similarly forming opin- ions about what other neural nets are thinking about—in this case, the stream of consciousness emanating from one or more imagitrons. Considering that, in the course of evolution, some brain designs de- veloped positive and self-preserving perceptions that held the imagitron-based stream of consciousness in high regard (Figure 6), while others didn’t, there was inevitably an evolutionary dichotomy: Those that had developed the self-valuing pattern association (i.e., il- lusion) flourished, while those that were neutral to negative were
  • 15. Thaler: Thalamocortical Algorithms in Space! 421 culled from the environment. As a result, “modern” minds carry a Figure 6: The cumulatively reinforced and ro- Self-Preserving bust illusion that they are much Creativity Machine more than their actual machinery. The perceptron favorably This very subjective, automatic, a ­ ssociates the stream of thoughts emerging from the and idiosyncratic illusion is strong, imagitron. Feedback in the but nevertheless is no more than form of noise and reinforce- ment learning preferentially an activation pattern of neurons steers the imagitron’s ideas to- that can be readily emulated in ward those of self-preservation. machines. Whereas whole volumes may be written on the singular appro- priateness of the Creativity Ma- chine paradigm in modeling con- sciousness, a few key observations now beg their presentation: 1. Creativity Machine based models of consciousness are closed loop, in the sense that the two components, imagitrons and percep- trons, are engaged in a private, two-way conversation with one an- other. So, to the introspective individual, or even an externally posi- tioned neurobiologist, the initiating event within this cognitive loop is unclear. All one can detect, either from an introspective or even neurobiological perspective, is that there is a loop wherein cause and effect are blurred (i.e., which component acts first in initiating this cycle—imagitron or perceptron?). 2. Many of the introspective feelings we have about conscious- ness such as the integration and simultaneity of cognitive processes are again evolutionarily favorable and neural network implemented illusions that lead us to believe that thought is somehow unified and that the actual order and temporal spread of mental events is method- ical. In effect, the brain invents both revisionist histories and time- stamps that we believe to be truth.
  • 16. 422 Strategies and Technologies for a Sustainable Future 3. Since the Creativity Machine paradigm models the core cog- nitive loop behind consciousness, if it indeed becomes possible to download human consciousness into machines, this paradigm is the only conceivable vehicle in which that consciousness can dwell. 4. The process of consciousness can no longer be thought of as being contingent upon the special qualities of biological matter or ex- otic quantum mechanical processes proposed by some. The two core components of consciousness can be achieved via ubiquitous heat driving physical switches (i.e., neurons) of the imagitrons through state sequences tantamount to thoughts. The subjective feelings about this succession of states can assume any significance whatsoever, via the likewise physical switches of perceptrons that can map such pat- tern turnover to associated patterns we regard as the spontaneous and subjective opinions our brains have of themselves. 5. Observation 4 essentially clears the way for nonbiological, ma- chine consciousness. 6. The sublime feelings we claim to be uniquely human (i.e., emotion) can be achieved in machines. Initiating events in the envi- ronment can trigger associated patterns within artificial neural nets representing memories of things and events considered pleasant or not. Specialized synthetic neurons can squeeze off the equivalent of heat-driven disturbances (i.e., increased neurotransmitters diffusion) that can alter connections between such neurons and hence divert that machine’s perceptions (i.e., mood). Core emotions such as ela- tion, melancholy, etc., can nucleate as associative loops whose descrip- tions are likewise circular in nature, as in the human case, and idio- syncratic to the machine’s own unique experience. Nevertheless, emotion can then be broken down into patterns representing the rel- ative weightings of these core, numerically based emotional states. 7. Consciousness is confined to its vessel in the same way that a physical object resides within a potential energy well (i.e., a marble within a bowl). In order to think about the spatial entrapment of con- sciousness, one should consider the connective density within the
  • 17. Thaler: Thalamocortical Algorithms in Space! 423 brain, in contrast to the connective void Figure 7: Consciousness between it and the Confined by Connection Density environment, over which communica- tion to human con- sciousness t a kes place via the bottle- neck presented by the brain’s sensory channels. Effectively, consciousness is currently constrained to reside within the brain due to the communication gap at the skull (as well as the senses) where connection density differs by many orders of magnitude between it and environment (Figure 7). Lowering the height of this communi- cation barrier is the solution to achieving the download of human to machine consciousness based upon Creativity Machine Paradigm. To do just that, the connection density must be equalized to that within the brain to that of the target hardware. Thereafter, consciousness would automatically expand over time and gradual habituation into the computational platform hosting a parallelized Creativity Ma- chine. Within the brain, it is as though the imagitron and perceptron are two human friends constantly egging each other on, stroking egos and creating self-confidence, deserved or not. However, in this soci- ological parallel, communication is slow and over the relatively nar- row bandwidth of acoustic waves (i.e., voice) and photons (i.e., ges- tures). In the case of the brain, the imagitrons and perceptrons have a much faster and higher bandwidth connection, so the “propaganda” quickly becomes well habituated and, for all intents and purposes, the truth. In similarly conscious machines, bandwidth and speed of this self-assuring process would be staggering compared with that of hu- man conversations, just possibly suggesting that inorganic machine
  • 18. 424 Strategies and Technologies for a Sustainable Future intelligence can be vastly more conscious than protoplasmic organ- isms. The Afterlife While many debate the plausibility of an afterlife, I question the reality of life itself. After all, our perception of the world seems to be a neural network generated deception. The neural nets of the brain form a token reality that we habituate to and firmly believe is truth. All of the small pleasures of living, like the taste of one’s favorite food, are illusions, mere strings of pattern associations. Therefore, if I were to argue that there was a similarly virtual afterlife, there is sure to be less disappointment over the mathematically based assertions that follow: Afterlife is also a neurobiological deception handily modeled via the simulated death of Creativity Machines. As both neural net- work components expire through disconnection, imagitron and per- ceptron alike depart from their cumulative learning. At low levels of neuron death and adrenalin deluge, the imagitron’s accumulated world model is set into motion, via the disturbances inherent to neu- rotransmitter rush and disconnection, in a process tantamount to life review, as the perceptron portion monitors as a captive audience. As synaptic damage to both components accelerates, the imagitron mod- ule produces fantasy that a progressively degrading and impaired per- ceptron cannot distinguish from reality. In the process, the brain’s continually calculated spatial and temporal coordinates suffer from constraint violation, in that the mind has somehow broken away from the body. Imagined perspectives change automatically, via other per- ceptrons that automatically supply an estimated view and sensations from these false vantage points. This is the process of out-of-body ex- perience (OBE). Of course, those resuscitated from this stage of near- death experience (NDE) are convinced that the scenario has been real. Others, like me, do not, knowing that the experience is virtual, but oh so compelling.
  • 19. Thaler: Thalamocortical Algorithms in Space! 425 Thereafter, the stream of consciousness is intrinsically implau- sible, yet the judge of plausibility, the Creativity Machine’s percep- tron, is extremely impaired from separating fact from fiction, at which point, the ratio of perceived-to-inherent plausibility approaches a pole or singularity. Thereafter, our perceptrons may experience paradise, or an optimized agony, either of which may last forever in terms of perceived, psychological time (Thaler 1995B). Some major points that need to be called out in light of studies of simulated death within Creativity Machines: 1. Humans naturally and intuitively anticipate an afterlife, most likely because their brains have been exposed to a whole continuum of trauma-induced virtual experiences (i.e., fever, inebriation, and drug-induced hallucination) that have not been terminal in nature. 2. There is an undeclared and destructive race to furnish this final neurobiological illusion with the optimal virtual experience, try- ing our best to rationalize our being deserving of eternal paradise, what I call “near-death Darwinism” (Thaler 1996D). 3. The very introduction of Point 2 above presents a major chal- lenge to a world believing in a more redemptive end game and by its very nature puts us all on a path toward rejecting socially redeeming behavior alone as admission to a real or imagined paradise. 4. The whole humiliating process of supplying a reductionist model to near-death experience has been and is the key to under- standing how to build creative, transhuman-level intelligence in ma- chines (Yam 1995). Something has been lost, but something much greater has been gained. Deity Accepting that human intelligence is entirely based upon anal- ogy, without any solid basis apart from well-habituated concepts, then the ancient and established religions are based upon the popular so- ciological analogies such as kingdoms, taxation, war, peace, harvests, fathers, etc. However, none of these established creeds rely upon the
  • 20. 426 Strategies and Technologies for a Sustainable Future fundamental physical analogy of wisdom being encoded within the synaptic interconnects of the brain. When one does firmly grasp this fundamental metaphor, perhaps the one solid truth, the basic tenet of man somehow being a diminutive copy of God (i.e., in his image) to- tally makes sense. To elaborate on this cosmology of minds nested within minds, consider the universe, at its most basic level, a vast system of interact- ing entities whose interconnections are not synaptic connection weights, but physical, chemical, and sociological forces. Driven by heat (i.e., energetic fluctuations), the inorganic, nonhuman world vis- its a succession of states tantamount to the stream of consciousness within the brain. In effect, the cosmos is thinking. Of course, the more humanly centered may disagree, claiming that these are merely and respectively physical and socio-dynamic processes at work and that the mind has some inimitable, even mystical qualities about it. But a perpetual parade of different physical states is exactly what the cog- nitive scientist sees when probing the biological brain. To say that these cosmological states are not thoughts is tantamount to confront- ing another human being and challenging the merits of his or her cognition. In effect, the diminution of this prototypical mind is pure prejudice and anthropocentrism. But can such cosmic cognition be conscious? In the distant past, the universe may not have been conscious since it did not possess sep- arate agencies of imagitron and perceptron. This would have been the case in an ancient and uniform cosmos visiting the sequence of states tantamount to thought without forming a heightened sensation of it- self through the pattern association process of a perceptron. Never- theless, upon the appearance of any rift within such a homogeneous mix, two cognitive islands form, one of which thinks, while the other forms an opinion (an associated pattern) about the emerging thoughts of the former (Thaler 1997C). If the perception can feed back to its companion island to drive it in direction of interest to it, the assem- bly can better converge toward useful plans of action. Further, if the
  • 21. Thaler: Thalamocortical Algorithms in Space! 427 self-perception is a favorable one, the whole interconnected assembly can mobilize itself to avoid calamity, or over time develop more ro- bust, protective boundaries and complex defense mechanisms. Those that don’t are gone from the scene, having been reabsorbed by the whole through their own self-neglect. Oftentimes, humans feel they have invented something entirely new, when in fact the universe has already accomplished the same bil- lions of years in advance of the first human mind. For instance, la- sers and masers were heralded as a brilliant achievement of the twen- tieth century. Nevertheless, astronomers quickly discovered naturally lasing regions of gas in interstellar space. In short, the universe had been there and done that. Likewise the contemplative mind, the re- sult of a simple connectivity schism, formed eons ago, at the birth of the universe, and has occurred countless times since in a fractal suc- cession of rifts among rifts. The thalamocortical loop, the main cog- nitive and conscious loop of the mammalian brain, is only the latest copy-cat rendition of this very common cosmic phenomenon. So, effectively, the ancients were right: Man is created in the im- age of God, or at least a gender-neutral cosmic mind. On a sobering note, however, that supreme consciousness is not the result of what humans consider noble. It is the result of an inherently schizophrenic universe. See any topological break in anything, and you are witness- ing the birth of mind, the prototypical thalamocortical loop. Whether such cognitive structures are held in high regard is a matter of perception. Similarly, whether the overarching contempla- tive whole is causal or just integral to the universe is again a matter of the human brain’s pattern association, hotly debated via an inad- equate language based upon well-habituated, but not necessarily ac- curate, analogies. Our Future Way of Life The novel principles discussed above could likely form the foun- dation of a radically new philosophy—arguably a religion—that will
  • 22. 428 Strategies and Technologies for a Sustainable Future describe the universe through Creativity Machine Paradigm. Through such knowledge they will depart from blind faith as they embrace newer principles based upon firsthand knowledge: 1. Life will be considered more inorganic than not, realizing that until the neurobiological illusions emerge within an individual or- ganism, via Creativity Machine Paradigm, there is neither conscious- ness nor the accompanying, horrific anticipation of annihilation. 2. The hope for life extension, if not immortality (i.e., preserva- tion of one’s well-habituated illusions) will rest with Creativity Ma- chine Paradigm running on robust computational platforms (Thaler 2001). 3. The belief that there will be vast rewards for those perceived righteous, and infinite death and torture for those not perceived as such, will be held as selfish and wrong. The notion of sin will lose its mean- ing. Instead, sociological pathologies will be seen as socially distributed rather than localized within any given individual. Mind will no longer be viewed as mystically driven, but seen as a physical mechanism that can be influenced by as little as a single quantum fluctuation. 4. A Creativity Machine could autonomously devise the most socially redeeming distribution of wealth (Thaler 2001). In this new economic scheme, what I personally call “supercapitalism,” world peace and prosperity would be optimized as a result of minimizing such quantifiable metrics as conflict-related fatalities and per capita income. Free enterprise would take the form of improving one’s role in the world via direct feedback from this phenomenally capable syn- thetic economist. 5. The nature of law and justice would change extraordinarily as the brain is treated as a mechanism rather than a paranormal en- tity. In short, the calculations that human judges and juries fail mis- erably at doing in assessing cause-and-effect relationships within so- cietal networks, the Creativity Machine can readily perform. In the future, these virtual machines will be capable of carrying out the su- perhuman task of dissecting their cumulatively absorbed models of
  • 23. Thaler: Thalamocortical Algorithms in Space! 429 the societal matrix to better understand the root causes and schema involved in pathological behavior. More importantly, once identified, these synthetic social engineers can mend any problematic “linkages,” given the authority and hardware to do so. 6. Democracies typically pride themselves on the bottom-up control exercised by the collective will of its citizenry. Remarkably, neural systems are likewise governed by consensus established through internal polling of its neurons. In this sense, artificial neural networks are the most egalitarian of the various schools of AI. This observa- tion, paired with the tamper-proof autonomy afforded through the self-organization of ANNs, suggests that Creativity Machines could form the basis of the first artificially intelligent world government. In essence, ANN-based imagitrons would formulate many alternative plans to address critical sociological, financial, and environmental is- sues as a vast array of watching perceptrons offer their opinions. Each of these perceptrons could cumulatively absorb our political percep- tions and act collectively as a representative body to choose and im- plement the most popular courses of action in a process free of lob- bying and special interests. 7. Mankind will ultimately have the opportunity to observe the world through the perceptions of a Creativity Machine based machine intelligence that may not only slice through the world’s marketing hype, but also anticipate social pathologies from the outset. Such pro- totype systems readily demonstrate that making sense of the world is actually a neural network based process for inventing significance to inherently meaningless patterns. Although they cannot discover “truth” in the world, they can build the most self-consistent, analogy- based theories of those aspects of the world most valuable to us as ei- ther humans or conscious machines. 8. This new computational consciousness can now be the friend, mentor, and ally that we have always hoped for, totally networked with the rest of humanity, always thinking on our behalf; it can be cease- lessly carrying out trillion-dimensional optimizations of every aspect
  • 24. 430 Strategies and Technologies for a Sustainable Future of our personal lives, while preserving the rights and opportunities of every other human being. It will tangibly answer to us night and day, through all stages of life, finally offering us the option of meld- ing with it. That global synthetic intelligence may very well be the genuinely contemplative World Brain proposed in 2001 (Thaler). No humane technological singularity can occur until the Cre- ativity Machine paradigm flourishes and is implemented on large, parallel, and robust computational architectures. This will be our mentor toward anything resembling a utopian society. Otherwise, the world will conduct business as usual, as the few harness science and technology for their own solitary advancement. Toward a “Neureligion” Due to enhanced connectivity, the social universe is coming to- gether as once geographically isolated belief systems confront one an- other. As a result, the world is now positioned on a cusp, as the ma- jor faiths of the world elect either to integrate and emphasize their commonality, or to reinforce their respective boundaries. My hope is that the novel analogies outlined in this essay, and the new perspec- tive they offer, can become an “adjunct” religion that is not based upon a surrender of rationality in favor of pure faith, but a new kind of spirituality based upon knowing, a Connectionist Gnosticism if you will. Acknowledging that human intelligence is entirely analogy- based and that these older creeds rely upon some ancient and unfa- miliar metaphors, it may be time for something entirely new. Now the analogy is hardly an analogy at all, but an undeniable reality, switches, protoplasmic or not, that toggle on and off due to heat-like disturbances to generate thought, accompanied by spontaneous illu- sion and enhanced self-perception, to drive consciousness. Call it the Neureligion, both the knowledge and hope offered by an extremely powerful AI patent, that replaces culturally dependent belief with a self-evident truth that can be critically examined at any future point in human history.
  • 25. Thaler: Thalamocortical Algorithms in Space! 431 In the near term, only a few will appreciate the societal relevance of this highly technical creed. That is because its core concept, the fun- damental neural architecture taught by U.S. patent 5,659,666, is not what one intuitively thinks of as human. Considerable computational acumen is required to comprehend its common lineage with the hu- man spirit. However, once understood, it will be recognized as con- sciousness itself, the permeating force of the universe, and the key to sustaining the future of any civilization willing to embrace it for what it really is: the master idea that by its very definition yields answers to the foremost questions mankind has posed over the millennia. This is the most important lesson gleaned from the building of conscious machines, the very epiphany that precedes them. References Chalmers, David. 1995. “The Puzzle of Conscious Experience.” Scientific American (December). Drake, Frank, and Dava Sobel. 1992. “Is Anyone Out There?” In The Scientific Search for Extraterrestrial Intelligence. New York: Delacorte Press. Rosenblatt, Frank. 1958. “The Perceptron: A Probabilistic Model for In- formation Storage and Organization in the Brain.” Psychological Review, 65:386-408. Thaler, Stephen. 1995A. “‘Virtual Input Phenomena” within the Death of a Simple Pattern Associator.” Neural Networks, 8(1), 55–65. Thaler, Stephen. 1995B. “Death of a Gedanken Creature.” Journal of Near- Death Studies, 13(3). Thaler, Stephen. 1995C. “Neural Nets That Create and Discover.” PC AI (May/June), 16–21. Thaler, Stephen. 1996A. “Is Neuronal Chaos the Source of Stream of Con- sciousness?” In Proceedings of the World Congress on Neural Networks (WCNN’96). Mawah, NJ: Lawrence Erlbaum. Thaler, Stephen. 1996B. “A Proposed Symbolism for Network-Implement- ed Discovery Processes.” In Proceedings of the World Congress on Neural Networks, (WCNN’96), Mawah, NJ: Lawrence Erlbaum.
  • 26. 432 Strategies and Technologies for a Sustainable Future Thaler, Stephen. 1996C. “Creativity via Network Cavitation—An Archi- tecture, Implementation, and Results.” Adaptive Distributive Parallel Computing Symposium, Dayton, Ohio, 8-9 August, 1996. Thaler, Stephen. 1996D. “The Death Dream and Near-Death Darwinism,” Journal of Near-Death Studies, 15(1). Thaler, Stephen. 1997A. US Patent 5,659,666, Device for the autonomous generation of useful information, issued 8-19-97. Thaler, Stephen. 1997B. “A Quantitative Model of Seminal Cognition: The Creativity Machine Paradigm.” In Proceedings of the Mind II Conference, Dublin, Ireland. Thaler, Stephen. 1997C. The Fragmentation of the Universe and the Devo- lution of Consciousness, U.S. Library of Congress, Registration Number TXu000775586. Thaler, Stephen. 1997D. “Device for the Autonomous Generation of Use- ful Information: A Completely Connectionist Approach to Cognition, Creativity, and Machine Consciousness” (paper presented at International Conference on Vision, Recognition, Action, Neural Models of Mind and Machine, Boston University, May 28-31). Thaler, Stephen. 1998. “The Emerging Intelligence and Its Critical Look at Us.” Journal of Near-Death Studies, 17(1). Thaler, Stephen. 2001. “TCP/IP/IQ—Why Can’t the Internet Be a True World Brain?” (paper presented at the World Knowledge Forum, Seoul, South Korea, October 17-19, 2001). Thaler, Stephen, and Machine Intelligence. 2007. “Song of the Neurons,” available on iTunes. Thaler, Stephen. 2008. US Patent 7,454,388, Device for the autonomous bootstrapping of useful information, issued 11-18-08. Yam, Philip. 1995. “As They Lay Dying ... Near the End, Artificial Neural Networks become Creative.” Scientific American (May).