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- 1. Culture levels from Pre-Science to Science to Post-Science from Hard Science to Soft Science Your lifestyle reflects your culture level non-technical introduction advisors : T. L. Kunii, C. V. Ramamoorthy Lotfi Zadeh, Hugh Ching editor: Chien Yi Lee (Amy/’integer lady“ nickname given by Dr. Zadeh)1
- 2. Scope of Human Knowledge Social Science and Life Science belong to Post-Science because the complexity of the problems and the standard of acceptance are totally different from Science. Pre-Science is the white area outside the circular areas. Self-Creation: permanent existence / fuzzy / creator-like or god-like behavior Life Science: Like a creator with the solution of complete automation / crisp logic / 500 choices / creator-like behavior Social Science: Like a human with the solution of value / mathematical rigor with fuzzy data / formulation of 50 inputs or factors / human-like behavior Science :empirical verification / 5 variables / machine-like or robot- like behavior Crisp logic / exact rigorous mathematics 2
- 3. Scope of Human Knowledge Social Science and Life Science belong to Post-Science or Soft Science because the complexity of the problems and the standard of acceptance are totally different from Science. Pre-Science is the white area outside the circular areas. Self-Creation 4000 AD Creation of permanent products Life Science 3000 AD Complete automation Social Science 2500 AD Laws of nature in social science Science 2000 AD Finite consideration temporary products 3
- 4. from Pre-Science to Science to Post-Science from Hard Science to Soft Science • Pre-Science (?- 1500 AD) - descriptive knowledge Pre-Science : Social science (morality) and Life science (religion). • Science (1500 – 2000) – structural and descriptive knowledge Age of Science : Physical Science, Social Science and Life Science ( all three are mistakenly mixed into one -> Science.) • Post-Science (2000 – 4000+) – descriptive and structural knowledge Post-Science : Age of Social Science (2000 -2500) Post-Science : Age of Life Science (2500 -3000) Post-Science : Age of Robotic (3000 -3500) Post-Science : Age of Self-Creation (3500 -4000+) . Post-Creation (4000 - ?) - structural and descriptive knowledge Expanding Range of Tolerance for Survival all the possibility of uncertain future (Robot/Machine is good, but human is better.) (Evolution is good, but self-creation is better.) (Exact is good, but fuzzy is better.) 4
- 5. Pre-Science Social Science (?-1500AD) Insects, birds, animals and human are created with common sense Animal-like behavior Fuzzy • Mixed up the nature of science and social Science Science deals with material behavior, invariant quantities. Social Science deals with human behavior, human actions, planning, value, prices or decision making, variant/invariant quantities. • Mixed up variant and invariant quantities Only invariant data can be used in the future. Variant data can not apply to the future. The use of Big Data: the concept of time-variant data, such as prices, decisions, value, plans, which changes continually to infinity in time and are calculated data, not surveyed data, generally USELESS to collect. • Man-made law The non-violable law of nature in social science had not yet been discovered. 5
- 6. Age of Science : Physics, Chemistry, Biology (Hard Science is the center of knowledge 1500-2000) Robot/Machine-like behavior Exact • # of man-made law in Physical Science = 0 • Science deals exclusively with invariant quantities or phenomena, which satisfy the test of empirical verification. • Examples: Gravitation, Atomic Bomb, Dynamite, Planetary motion, moon landing, F=G x (m1 x m2)/r 2, e=mc2 , Animal motion, Jumpulse,dynamic contact, touch. • Isaac Newton, Rene Descartes, David Hume, Ta-You Wu (Jumpulse), John von Neumann, Richard Feynman ( never talk about social science) are best examples of scientists. Math is a descriptive language in the age of science. • Newton and other scientists: discovered non-violable laws of nature in Physical Science. • Consideration in finite time • Impulse was described by Isaac Newton (father of Physics) 6
- 7. Social Science in the Age of Science: (Hard Science is the center of knowledge 1500-2000) Robot/Machine-like behavior advocate competition • Value-absent in Physical Science; Social Science is mistakenly mixed into Science. • Industry revolution; man-made technology; human technology; Competition is the engine of progress in the absence of a rational method of arbitration • finite spreadsheet : Excel • Peer review: compare to the past (within the box; true original should have no peers) • Technical analysis, data mining and behavior science are all incorrect. (mixed up variant and invariant – only invariant data can be compared to the past and carried to the future) 7
- 8. Social Science in the Age of Science (Hard Science is the center of knowledge 1500-2000) Robot/machine-like behavior advocate competition • Science deals with problems in a finite controlled environment, therefore, It is finite and certain. • Man-made law – may in conflict with non-violable laws of nature of Social Science The 20th century greatest thinker late Dr. Milton Friedman suggested that there should be no man-made law ( deregulation ). Non-violable laws of nature of Social Science, such as the solution of value, has been discovered by Hugh Ching. Whether you believe or not believe, accept or not accept, it exists. Non-violable laws of nature of Social Science and a logical relationship had been introduced to US Federal Reserve Board (2012) 1.PQ=VM (saved the whole world from another great depression) 2.solution of value(infinite spreadsheet : non-violable laws of nature) 3. rate of return > interest > inflation http://www.federalreserve.gov/SECRS/2012/September/20120907/R-1443/R-1443_082012_108256_509635099759_1.pdf 8
- 9. Soft Science : Social Science and Life Science Post-Science (2000-4000 +) advocate cooperation Why is reality fuzzy? Why is the living system fuzzy? Because in the process of expanding the range of tolerance in order to survive all the possibility of uncertain future, precision is sacrificed. • Non-violable laws of nature regulate all material and human behaviors. • The laws in science are exact and based on empirical verification. • The laws in social science are fuzzy and are accepted based on mathematical verification. • Uncertainty requires fuzzification to expand the range of tolerance to cover all possibilities in uncertain future. Life science is based on logic verification. • All valid decisions are part of an Infinite Spreadsheet within the range of tolerance. • The range of tolerance of the non-violable laws in social science gives the illusion of freedom. • Fuzzification or diversification causes complexity. • Complete automation solves unlimited complexity.
- 10. Soft Science: Social Science and Life Science Post-Science (2000-4000 +) advocate cooperation Human-like behavior Fuzzy + Exact • Rational decision making ( post-science social science ) • forward-looking (post-science social science ) versus backward-looking (pre-science social science) • Non-violable law of nature in Social Science- Infinite Spreadsheet ( solution of value ) • Consideration of infinite (Reality is infinite in time and space ) • Maximum planning(individual planning/corporation planning/government planning): planning system • Non-Arbitrary/Deterministic system • Project priority based on value/rate of return • completely automated software ; to copying creator’s technology – the living system • Computing with Words: Dr. Lotfi Zadeh/Fuzzy; A human think fuzzy like a human; human native langrage • Computing with Integers:Chien Yi Lee(Amy)/Exact; a machine think exact like a machine; integers • Both together forms Universal User Interface in Permanent software or completely automated software for the human language programming • Fuzzy Set theory (human associative memory) and radix theory (machine random access) form the foundation of computer science. 10
- 11. Post-Science or Soft Science: Social Science and Life Science pioneers/thoughts/contributors advocate cooperation Human-like behavior Fuzzy + Exact Immanuel Kant: infinity/non-consequentialism Benedict Spinoza: following reality/solving problem in its entirety David Hilbert: consider Kant the originator of the concept of infinity John Von Neumann posed the problems of value and complete automation Alan Turing: student of Neumann, mapped out the similarity between the foundations of computer and life Kenneth Arrow/Gerard Debrea:Theory of Value/mathematic economists Hugh Ching: discovered non-violable laws of nature in Social Science Hugh Ching: fuzzy input in solution of value/infinite spreadsheet Hugh Ching: completely automated permanent software/Permanent numbers Hugh Ching: knowledge is based on faith, not reason ; self-creation Paul Feyerabend: against method, farewell to reason C.V. Ramamoorthy: Ram Spec (Electronic Brain/Ramamothy specification); T.L. Kunii: leader of descriptive knowledge/Homotopy Encryption Lotfi Zadeh: fuzzy logic and fuzzy reality/range of tolerance 11
- 12. Soft Science: Social Science and Life Science Post-Science (2000-4000 +) advocate cooperation Creator/God/Aliens behavior Fuzzy + Exact • Life is used to express the value of DNA. DNA will be the most valuable commodity on earth. Humans have been made to believe that life is temporary, while DNA has been created to last permanently. • Epigenetic Lifestyle (EL) is the modification of one’s physical, mental, and emotional states through direct communication between one’s DNA and one’s lifestyle through epigenetic feedback. • Knowledge will be more important than wealth . Accumulation of wealth for survival will no longer be necessary and will be less desirable than the achievement of happiness. Happiness will come less from wealth than from knowledge. Knowledge discoveries will be the main news. • How to Create Heaven? Has the living system been given the potential to create heaven? The answer is in the mind of our creator. We need all the necessary knowledge to create heaven; We should be happy all the time; We need to have the ability to generate happiness; We need to take care of all our future worries. • Computer science and life science will be put on the same foundation of complete automation. • Complete automation starts from the Self-Manufactured General Purpose robot with the ability to touch and ends at the living system. • The constraint in social science is fuzzy or flexible; the fuzziness give the illusion of freedom or free will. 12
- 13. Soft Science: Social Science and Life Science Post-Science (2000-4000 +) advocate cooperation Creator/God/Aliens-like behavior Fuzzy + Exact • Rigor of General Logic • Fuzzification and expanding range of tolerance in creation • Complete automation is the solution to unlimited complexity • The enhanced intelligence will allow mankind to self-create by the improvement of Self-Manufactured General Purpose Robot controlled by completely automated software, which will ultimately be developed into DNA. In the process of self-creation, mankind will realize from the design specification the purpose of its own existence, namely, self-creation, for what is created will be able to do anything the creator can do. • Joining the Wisdom and the Heritage of the Universe by copying creator’s technologies. 13
- 14. Soft Science : Social Science and Life Science Post-Science (2000-4000 +) Fuzzy + Exact Thinkers raise society culture level. All thinker should be anti-establishment. Knowledge is based on faith , not reason. Current (IQ is the measure of analytic ability) Hard Science: Physics, Chemistry, Biology Brainwashed by science Current to Future (perception, creativity, analytic ability, thinking ability) Soft Science: Social and Life Science Independent thinking Science is establishment Hard science is the center of knowledge Math is a descriptive language in the age of science Post-Science becomes establishment Soft Science moves to center stage of knowledge Math is for Social Science Science advocate competition Post-Science advocate cooperation Human works like robot-substituted before robot is created Thinkers raise society culture level 14
- 15. Soft Science : Social Science and Life Science Post-Science (2000-4000+) Fuzzy + Exact Thinkers raise society culture level Current : Science ( in the box ) Current to Future : Post-Science ( independent thinking ) English –Like Source code : Unpredictable/un-known future form/ Non-portable Integer-like Universal Computer Source code (Computing With Integers): Predictable/portable/integer form forever DNA discovered by Scientific Experiment using microscope by Watson and Crick 1953 with little understanding. Man-made technology DNA discovered by Theoretical Deduction based on the discovery of completely automated Self-generating Software by Hugh Ching, Founder of Post-Science, 1986 with understanding to simulate the living thing. copying creator’s technology Freedom is restricted only for material objects by non-violable laws of nature in physical science. Freedom is completely restricted for material and human behaviors by non-violable laws of nature in physical and social sciences, and creations, by the Requirement of Permanence. Evolution, Random choice at infinite past Self-Creation, evolution being part of design 15
- 16. Soft Science: Social Science and Life Science Post-Science (2000-4000+) Fuzzy + Exact Uncommon sense is the knowledge of the creator of the living system and is needed to discover the discipline of the universe. From : Hard Science Physics, Chemistry, Biology Science To : Soft Science Social Science and Life Science Post-Science Exact (idealized modeling) Fuzzy + Exact faith in empirical verification religion of science Mathematics foundation should be Radix Theory. Set theory is fuzzy. Fuzzy set is redundant. Computer Science has no foundation and is wrong because of finite consideration, partially automated, artificial standard. Man-made technology Seeing the future from the present or the past Computer Science foundation should be Set Theory and Radix Theory for achieving complete automation and permanent existence. Natural standard copying creator’s technology Seeing the future from the future Computer Science has no discipline The discipline of Computer/life Science should be the requirement of permanence16
- 17. Soft Science : Social Science and Life Science Post-Science (2000-4000 +) Fuzzy + Exact Thinkers raise society culture level Reality is fuzzy and infinite, and the future is permanently uncertain. Science (IQ is the measure of analytic ability) Hard Science: Physics, Chemistry, Biology Brainwashed by the establishment Post-Science (perception, creativity, analytic ability, thinking ability) Soft Science: Social and Life Science Independent thinking Uncommon sense in the form of Logic, mathematics, and science Uncommon sense is the knowledge of the creator of the living system and is needed to discover the discipline of the universe In a defined time and space In a controlled environment Finite and certain Expand range of tolerance of the creation For surviving all the possibilities of the uncertain future money/power-oriented animal society Seeing the future from the present or the past knowledge-oriented human society Seeing the future from the future 17
- 18. THREE LEVELS OF DECISION MAKING ECONOMICS AND FINANCE BELONG TO SOCIAL SCIENCE, NOT PHYSICAL SCIENCE • FIRST LEVEL : COMMON SENSE BASED ON PERCEPTION OR INTUITION WHEN THE RANGE OF TOLERRANCE SUFFICIANT TOO LARGE. EXAMPLED BY DEALING DAILY LIFE ; DESCRIPTIVE KNOWLEDGE • SECOND LEVEL : INFINITE SPREADSHEET EXACT SOLUTION IS MATHEMATICAL RELATIONSHIP CORRESPONDING TO REALITY - UNCOMMON SENSE ; STRUCTURE KNOWLEDGE; EXAMPLES: CALCULATED STOCK RATE OF RETURN OR REAL ESTATE PRICE DETERMINATION; SOLUTION OF VALUE FOR DISTRIBUTION • THIRD LEVEL : FUZZY INFINITE SPREADSHEET EXACT SOLUTION IS THE MOST ACCURATE DESCRIPTION OF REALITY; STRUCTURE
- 19. FINANCIAL CRISES SHOWS THE URGENCY TO ADVANCE FROM HARD TO SOFT SCIENCE • MILTON FRIEDMAN TRIED TO MAKE ECONOMICS MORE SCIENTIFIC USING KARL POPPER’S FALSIFICATION THEORY. • JOHN VON NEUMANN TRIED TO SOLVE THE MOST RELEVANT PROBLEMS OF VALUE AND COMPLETE AUTOMATION, BUT LEFT THE SOLUTIONS UNFINISHED. INCORRECT VALUE CAUSES S&L CRISIS AND THE SUBPRIME WOE. CHING PREDICTED BOTH CRISES WITH THE SOLUTION OF VALUE. • IN MATHEMATICAL ECONOMICS, GERALD DEBREU DEFINED THE PROBLEM OF VALUE IN HIS BOOK THEORY OF VALUE WITH MATHEMATICAL RIGOR. • KENNETH ARROW QUESTIONS PAGE 34 OF THE BOOK ON DISCOUNTED CASH FLOW CALCULATION, WHICH IS CORRECTED IN CHING’S SOLUTION OF VALUE, AND WHICH MAKES ALL OTHER METHOD OF VALUATION INVALID. • VON NEUMANN, ARROW, AND DEBREU HAVE RAISED THE SOFT SCIENCE OF ECONOMICS TO BE HARDER THAN HARD SCIENCE; IT IS FORMAL SOFT SCIENCE. • CONCLUSION: SOFT SCIENCE NEEDS RIGOROUS FORMULATION OF THE PROBLEM, BUT CAN RELAX THE ACCURACY OF THE INPUTS. THE SOLUTION OF FINANCIAL CRISES LIES IN SOFT 19
- 20. KNOWLEDGE DEVELOPMENT • KNOWLEDGE DISCOVERY : NON-VIOLABLE LAW OF NATURE IN SOCIAL SCIENCE, LIKE GRAVITATION IN SCIENCE - WHETHER YOU KNOW OR DON’T KNOW, ACCEPT OR DON’T ACCEPT, IT EXISTS.; FINITE SPREADSHEET INSTABILITY MUST BE STOPPED BY INFINITE SPREADSHEET • RESEARCH : SOLUTION OF VALUE; COMPLETELY AUTOMATED AND SELF- GENERATED SOFTWARE ; PATENTED • DEVELOPMENT : REAL ESTATE VALUATION DOMINATE EAST BAY LISTING • EDUCATION : INTRODUCED INFINITE SPREADSHEET VALUATION TO NATIONAL SCIENCE FOUNDATION AND FEDERAL RESERVE BOARD AROUND; THEN, TO THE WHOLE WORLD • APPLICATION : INFINITE SPREADSHEET STOCK RATE OF RETURN AND REAL ESTATE VALUATION • MARKETING : TO THE WHOLE WORLD; KNOWLEDGE BELONGS TO THE WHOLE HUMAN RACE AND THE UNIVERSE
Editor's Notes
- T.L. Kunii: leader of descriptive knowledge/Homotopy Encryption C.V. Ramamoorthy: Ram Spec (Electronic Brain/Ramamoothy specification); Father of Software Engineering; approve of Chien Yi Lee Universal Computer Source Code Lotfi Zadeh: fuzzy reality/range of tolerance in creation; generalize logic with fuzzy logic; Computing With Words (CWW); descriptive part of reality Hugh Ching: Founder of Post-Science ; structural part of reality Chien Yi Lee: Inventor of Universal Computer Source Code; Computing With Integers (CWI); She is one of toy human.
- Science , dealing with certainty ( in a defined time and space ), has missed the essence of the problem, which is solving the permanently uncertain future. Post-Science promotes the concept of a future cooperative society of abundance guided by knowledge. Only knowledge will give mankind the right to inherit the earth and to connect to the wisdom of the universe.
- Current society mixed up the NATURE of science and social Science. Science deals with material object, planetary motion and invariant quantities, such as: speed of light, gravitation , Maxwell equations, ideal gas law and physical laws of nature. Social Science deals with human behavior, human action, planning, price, value , decision making , variant and invariant quantities. Using scientific methods to analyze or try to solve social science is much insufficient. Variant quantities change continuously with the changes in future expectations to infinity in time.
- The significance of fuzzy logic will not be fully realized in millions or even billions of years when in the process of mankind’s self-creation, bio-diversification might be largely dependent on fuzzy logic, for, intuitively, an exact entity, say, a robot has a very little chance for survival permanently. Fuzziness could be the key to change, and change could be the key to survival. The process of change is necessarily fuzzy. MIT produces the best human-robot as technical engineers. China produces the most human-robots as manufactory workers.
- Richard Feynman, who exemplified the pure scientist, admitted that he could not solve problems beyond science, such as problems in social science. He did not believe that problems in social science were solvable, even by the best of scientists, in defending the value-absentness of science. Physics Prof. Sumner Davis of UCB told Hugh Ching that the concept of time-variance did not exist in science. Question 1:(Kenneth Arrow asked Hugh ching “what is wrong with the discount cash flow?” A: “in order to discount correctly a different rate is needed for each and every year.) Question 2:“Why is game theory effective and what is the danger of game theory? A: Game theory is effective when the intrinsic value can be reliably assumed, such as in a basketball game ( for example : pre-assumed/defined finite time and space with value of 2 points for one basket) . Its danger is the unreliability of the assumption of the intrinsic value. The intrinsic value should be calculated by the solution of value. The rules of game theory in reality are the non-violable laws of nature. Reality is infinite in time and space. Financial consultants claim the effectiveness of game theory, but are staring in the eyes by the on-going global financial crisis.” In using big data, the data should be separately identified as invariant data, which can be used as indications of the future, and variant data, which change continually to infinity in time and should not be used as indications of the future (their use has been the cause of financial crises). Data mining : The collection of past data is looking backward into the certain past instead of looking forward into the uncertain future. Gold did not provide cash flow but appreciation. Investing in gold based on future expectation of appreciation. time-invariant lessons of history that the limited supply of silver caused the fall of the Roman Empire, and the limited supply of gold contributed to the Great Depression, the national debt, which creates an artificial, unnecessary, and self-imposed constraint on the supply of the dollar, might become the cause of possibly the biggest world-wide financial disaster
- Richard Feynman was an extremely clear and rigorous thinker, who was also well-trained in science. Feynman was implying the existence of unsolvable Problems beyond science. Science is an aberration of human-centered knowledge progress and has succeeded mainly because of its contribution to military competition. Military competition makes scientists the favorite among all intellectuals to the non-thinking politicians. Human Knowledge has historically been dealing with value and life. The two best demonstrations of science are moon landing and atomic bomb.
- From Comte to Friedman, social scientists tried to make social science as rigorous as science without any definitive success, as evidenced by the chronicle financial crises. Engineering deals with reality, and reality is fuzzy. Science claims to be exact, but exactness only occurs in idealized models. Since all scientific applications depend on engineering, fuzzy logic covers all knowledge in science. For example, exact convergence could be prohibitive; engineers can exploit the fuzziness in real world problems by satisfying the minimum requirement to get the job done efficiently. Valuation system with assumed resale price and market comparison method compare to the past both are backward-looking which contributed to the financial crises. Data mining/technical analysis : mixed up time-invariant and time-variant time-invariant lessons of history that the limited supply of silver caused the fall of the Roman Empire, and the limited supply of gold contributed to the Great Depression, the national debt, which creates an artificial, unnecessary, and self-imposed constraint on the supply of the dollar, might become the cause of possibly the biggest world-wide financial disaster.
- Peer review , market comparison method , time series analyses, big data, share the same defect – compare to the past ( backward-looking ). The non-violable law of nature in social science has been discovered and should be observed to prevent future financial crises. Non-violable laws of nature of Social Science has been discovered whether you know or you don’t know, understand or don’t understand, believe or don’t believer, accept or don’t accept, IT EXISTs.
- General Decision Theory extends from the simplest decision of buying a loaf of bread to the infinite spreadsheet, which is a mathematically rigorously formulated relationship of all the factors affecting value in a space extending to infinity in time and space. Social Science problem involves 50 variables. Life science is characterized simultaneously by unlimited complexity and complete automation. While most problems in science involve about 5 variables, the problem of touch involves around 25 variables, that of value, 50 variables, and that of software, 500 variables. The current society of 5-variable intelligence is having difficulty coping with the real world of social and life sciences, which are orders of magnitude more complex than the materialistic world of science. The scientific establishment must loosen its hold on knowledge by recognizing the limitation of empirical verification, and by looking forward into the uncertain future rather than just looking backward into the certain past. Post-science will no longer have the luxury of empirical verification.
- The acceptance of non-violable laws of nature in social science, which are not empirically verifiable, is based on mathematical rigor. If a rigorous mathematical derivation corresponds closely to reality, it is a non-violable law of nature. From the practical point of view of Human Associative Memory, Dr. Lotfi Zadeh finally got it right in that set theory should be fuzzy in general, with crisp set theory as a special case, thus, resolving the historical debate between Hilbert and Kronecker on set theory. Dr. Hugh Ching’s basic belief is that set theory should not be the foundation of mathematics (Kronecker) because it deals with higher form of human intelligence, namely, perception, which the machine does not yet have, including, particularly, Human Associative Memory. Dr. Hugh Ching has proposed that the radix theory (radix or integers) should be the foundation of mathematics, and that both of rad theory and set theory should be the foundation of computer science.
- Non-violable laws of nature of Social Science has been discovered whether you know or you don’t know, understand or don’t understand, believe or don’t believe, accept or don’t accept, apply or don’t apply, IT EXIST. C. V. Ramamoorthy is the major critics of the John Von Neumann Architecture and summarizes his criticism in his discussion of the Von Neumann Syndrome. The first conversation between Hugh Ching and C. V. Ramamoorthy was one their agreement that ALL SOFTWARE ENGINEERING IS WORNG! Dr. Hugh Ching is grand, grand, student of David Hilbert. Hugh Ching belief is that set theory should not be the foundation of mathematics (Kronecker) because it deals with higher form of human intelligence, namely, perception, which the machine does not yet have, including, particularly, Human Associative Memory. Hugh Ching have proposed that the radix theory (radix or integers) should be the foundation of mathematics, and that radix theory and set theory should be the foundation of computer science. In particular, Hugh Ching strongly believe that the design of all computer software should take into consideration Human Associative Memory, which gives the human the ability to access an unlimited amount of information, even though fuzzily. Using Human Associative Memory, Hugh Ching have proposed a completely different approach to natural language programming. This new approach has the human reads the human native language and the computer reads the integer and was originally designed to solve the problem of manual updating of computer languages.
- Humans have been made to feel pain through numerous illusions played on them by their brains. Humans have been made to believe sexual reproduction is the only way to continue their family lineage, while sexual reproduction has the opposite purpose of creating distinct DNAs for bio-diversification, and the faithful reproduction of life is cloning. Humans have been given the ability of senses, which is supported by illusions, while the ultimate reality must be realized by the analysis of rational thinking to overcome the illusions, even on the most fundamental concepts of matter and time. Cloning is the rational method of reproduction. DNA mixing through sexual reproduction will gradually fade away after the number of distinct human DNA reaches about 10 billion. Matter and time should be replaced by force field and motion and used as abstract concepts.
- The acceptance of non-violable laws of nature in social science, which are not empirically verifiable, is based on mathematical rigor. If a rigorous mathematical derivation corresponds closely to reality, it is a non-violable law of nature. Mankind has inherited the earth. Only knowledge will give mankind the right to inherit the earth and to connected to the wisdom of the universe. Examples of problems in Soft Science not subject to empirical verification: (1) Price of an ounce of gold: the price cannot be empirically verified because it will fluctuates to infinity in time and (2) Human drug test: Human DNA will propagate through offspring to infinity in time and the test will never be conclusive. New drug tests cannot be empirically verified because the drug will affect DNA, which lasts permanently through offspring.
- Market comparison method and peer review are compare to the past. Both market comparison and peer review should be replaced by solution of value ( infinite spreadsheet ). Both Karl Marx and Milton Friedman lacked scientific training. Marx’s planning and Friedman’s free market lacked mathematic rigor. Time series analyses of time-variant data, such as prices, value are useless. Time-variant quantities, such as price or value, which changes continually to infinity and must be recalculated when the expected future changes, and with quantities which are permanently fuzzy, such as the human language and the current English-like computer languages, which need to be continually completely automatic updated to infinity. Discount cash flow/DCFM/market comparison method/time series analyses contributed to the financial crisis. Game Theory does not calculate intrinsic value. Black and Scholes model uses random walk to assume resale price and is an arbitrary system. All non-deterministic system belong to pre-science.
- Life science is characterized simultaneously by unlimited complexity and complete automation. While most problems in science involve about 5 variables, the problem of touch involves around 25 variables, that of value, 50 variables, and that of software, 500 variables. The current society of 5-variable intelligence is having difficulty coping with the real world of social and life sciences, which are orders of magnitude more complex than the materialistic world of science. The scientific establishment must loosen its hold on knowledge by recognizing the limitation of empirical verification, and by looking forward into the uncertain future rather than just looking backward into the certain past. Post-science will no longer have the luxury of empirical verification.
- Set theory is to group or collect similar items as a set which depends on Human Associative Memory to access an unlimited amount of information. Set theory and Human Associative Memory are fuzzy. One of the major characteristics of soft science is infinity or permanence, which describes open systems for the permanently uncertain and infinite fuzzy part of reality extending to infinity in time and space. One of the major characteristics of soft science is infinity or permanence, which describes open systems for the permanently uncertain and infinite fuzzy part of reality extending to infinity in time and space. Control systems are still in the domain of science, but have already demonstrated the power of fuzzy logic. Bio-diversification corresponds to control system and is in the domain of soft science. It is the key to the survival of mankind. Dr. Hugh Ching is grand, grand, student of David Hilbert. Hugh Ching belief is that set theory should not be the foundation of mathematics (Kronecker) because it deals with higher form of human intelligence, namely, perception, which the machine does not yet have, including, particularly, Human Associative Memory. Hugh Ching have proposed that the radix theory (radix or integers) should be the foundation of mathematics, and that radix theory and set theory should be the foundation of computer science. In particular, Hugh Ching strongly believe that the design of all computer software should take into consideration Human Associative Memory, which gives the human the ability to access an unlimited amount of information, even though fuzzily. Using Human Associative Memory, Hugh Ching have proposed a completely different approach to natural language programming. This new approach has the human reads the human native language and the computer reads the integer and was originally designed to solve the problem of manual updating of computer languages.
- Market comparison method and peer review are compare to the past. Both market comparison and peer review should be replaced by solution of value ( infinite spreadsheet ). Animals , birds , and insects help distinguish common sense from uncommon sense and the created from the creator. Humans have both common and uncommon sense and are both the created and the creator. Complete automation is the solution to unlimited complexity The best example of complete automation is The Living System. DNA is the most valuable commodity on earth. Joining the Wisdom and the Heritage of the Universe Sexual reproduction is the method reproduction for humans in the animal-like state and is for DNA mixing. In the Age of Science, plants and animals are starting to be produced by genetic engineering and cloning. In the future, humans will be reproduced by cloning of the desirable DNAs, which have been tested by lives lived by humans represented by the DNAs. The goal of life is to determine the value of the DNA. Only by having lived through an entire life can the value of the DNA be measured. The value of DNA is expressed in the life lived. The most valuable entity on earth is DNA. Currently, only plant and animal DNAs are cloned. Social progress will be greatly enhanced by the cloning of likable and worthy humans. In the beginning of civilization, mankind practiced evil for survival just like basic instinct of insects or animals, fighting for lands or goods, conquering nations. Two thousand years ago, the Bible predicted that the most important problem for mankind would be excessive evil. Religions have served to provide artificial constraints on human behavior. However, the world is now plaques by an unsolvable global financial crisis. For permanent survival, mankind must find guidance and solution on human behavior based on rigorous derivation.
- Current society mixed up the NATURE of science and social Science. Science deals with material object. Social Science deals with human behavior, human actions, planning ,price , value or decision making. Using scientific methods to analyze social science is much insufficient.
- Question 1:(Kenneth Arrow asked Hugh ching “what is wrong with the discount cash flow?” A: “in order to discount correctly a different rate is needed for each and every year.) Question 2:“Why is game theory effective and what is the danger of game theory? A: Game theory is effective when the intrinsic value can be reliably assumed, such as in a basketball game ( for example : pre-assumed finite time and space with value of 2 points for one basket) . Its danger is the unreliability of the assumption of the intrinsic value. The intrinsic value should be calculated by the solution of value. The rules of game theory in reality are the non-violable laws of nature. Reality is infinite in time and space. Financial consultants claim the effectiveness of game theory, but are staring in the eyes by the on-going global financial crisis.”