Post-Science Standards for the Acceptance of Knowledge The author spent 3 years studying electrical engineering and 5 years, plasma physics at MIT. He had 3 year of post-doctoral mathematics training at the Courant Institute of Mathematical Sciences and afterward 8 years in the Department of Philosophy at UC Berkeley under Paul Feyerabend. In the 1990s, he spent 10 years working with Dr. Ta-You Wu, the Father of Chinese Physics, on the physics solution of touch or collision without bounce based on jumpulse, a new concept in physics denoting a sudden change of force and a concept missed by Isaac Newton and all the scientists since Newton for the past 300 years. With his engineering, physics, mathematics, and logic trainings, he founded post-science, knowledge beyond science, with his solutions of value, software, and touch. Science deals with products of temporary lives, and post-science deals with permanent creations. Science is value-absent and post-science contains the solution of value. Science has no value in comparison to post-science, for permanent creations are infinitely more valuable than temporary creations. Just look around us. We cannot live without naturally existing foods, which have been designed to last forever. The ratio of the values created by humans and the value of naturally existing resources is less than 1%. But, humans fight over this less than 1% contribution and think we own the world. Post-science believes that if we have enough knowledge, such as the solutions of value and complete automation, we will realize that as long as we can correctly distribute the value in nature, we can survive comfortably with very little contribution to the total value. The purpose of our existence is to continue this natural abundance created by our predecessors. The first goal of knowledge is to achieve permanence, and the last is to create Heaven. Permanent entities are infinitely more valuable than temporary entities. Permanence is achieved through the solution of complete automation, the process of self-creation, and the expansion of the range of tolerance of the created or the product in order to accommodate all the possibilities in an uncertain future. The value of a permanent entity has to be analyzed by an infinite spreadsheet, which recalculates a new economic equilibrium, whenever the future expectation changes. The Standards of the Acceptance of Knowledge are: (NOTE: Solutions in social and life sciences, involving infinity, are not empirically verifiable) Physical Science: Empirical Verification (of Finite Phenomena with the Assumption of Invariance or Law of Uniformity). Social Science: Mathematical Verification (to Infinity within the Range of Tolerance). Life Science: Logical Verification (of the Requirement of Permanence through Complete Automation and through the Expansion of the Range of Tolerance for Covering All the Possibilities in an Uncertain Future).

1. THE GOAL OF KNOWLEDGE
POST-SCIENCE STANDARDS FOR THE
ACCEPTANCE OF KNOWLEDGE
Hugh Ching
Founder of Post-Science
June 2014

2. THE GOAL OF KNOWLEDGE
 The first goal of knowledge is to achieve
permanence, and the last is to create Heaven.
 Permanent entities are infinitely more
valuable than temporary entities.
 Permanence is achieved through the solution
of complete automation, the process of self-
creation, and the expansion of the range of
tolerance of the created or the product in
order to accommodate all the possibilities in
an uncertain future.
 The value of a permanent entity has to be
analyzed by an infinite spreadsheet, which
recalculates a new economic equilibrium,
whenever the future expectation changes.

3. OVERVIEW
 The Standards of the Acceptance of
Knowledge are:
(NOTE: Solutions in social and life sciences,
involving infinity, are not empirically verifiable)
 Physical Science: Empirical Verification (of
Finite Phenomena with the Assumption of
Invariance or Law of Uniformity).
 Social Science: Mathematical Verification (to
Infinity within the Range of Tolerance).
 Life Science: Logical Verification (of the
Requirement of Permanence through Complete
Automation and through the Expansion of the
Range of Tolerance for Covering All the
Possibilities in an Uncertain Future).

4. SCIENCE, SOCIAL SCIENCE, AND LIFE SCIENCE
 A solution can only be obtained from a deterministic
system, where the number of equations equals the
number of unknown.
 In science, the remaining final variable for a
deterministic system, which occurs within a finite time,
is determined from empirical verification.
 In social science, the final variable for a deterministic
system, including infinity in time, is determined from a
mathematically rigorous system, including infinity.
 In life science, the Requirement of Permanence for a
system of unlimited complexity can only be satisfied
with a foundation based on logic represented by
integers, namely, 0, 1, 2, and 3 the source code of DNA.
 Fuzzy logic introduces the new mathematical concept of
the Fuzzy Exact Solution, which is more reliable than the
Exact Solution, which in the past is supposedly to
captures all the factors affecting a problem.

5. SOLUTION OF VALUE
 Mathematical rigor is needed in solving the
problem of value because the deterministic
solution involves time infinity and is not subjected
to empirical verification.
 The problem of value deals with an infinite number
of equations of the same form (Cash Return = Sum
of Cash Flows + Cash from Resale).
 Both the formulation and the inputs in the post-
science solution of value are necessarily fuzzy.
 An example of fuzzy inputs is %Return = 10%+/- 5
 The solution of value introduces the new
mathematical concept of Fuzzy Infinite
Spreadsheet, which expands the inputs from a
point to a range and is more reliable than the
Infinite Spreadsheet, which is the Exact Solution.

6. SOLUTION OF COMPLETELY AUTOMATED SOFTWARE
 The completely automated software uses the
Universal User Interface, such as
1. Input, 2. Calculate, 3. Files, 4. Branch,
5.Generate, 6. Save and Exit?
Where the human reads human words (linguistic
variables) and the computer reads the integers.
 Both human words and hypertext are permanently
fuzzy sets and must be converted to integers to
achieve complete automation, with tolerance.
 The tree-structure and the words (Computing With
Words) can be auto-updated. The strict logic of
integers is expanded into the fuzzy logic of words.
 A permanently adjustable mechanism, namely, auto-
update, is needed to solve a permanently fuzzy
problem, namely, Natural Language Programming.

7. FUZZY LOGIC IS THE FOURTH REALIZATION OF KNOWLEDGE
 Fuzzy logic can be considered mankind’s Fourth
Realization of Reliable Human Knowledge.
 The 4 Realizations of Knowledge are: (1) Science, (2)
Social Science, (3) Life Science, and (4) Fuzzy Logic.
 The standards of acceptance of solutions are,
respectively, (1) Empirical Verification, (2) Mathematical
Verification, (3) Logical Verification, (4) Within the range
of tolerance, which increases reliability and relaxes
mathematical and logical rigor.
 For example, the range of tolerance of the living system
has been expanded through design strategies, such as
multi-cellular, distinct DNA, mixing of DNA through
sexual reproduction, diversification, Epigenome, fuzzy
control systems, and Human Associative Memory, which
contribute to the fuzzy nature of the living system or
reality and sacrifice complete automation.

8. CONCLUSION
 What is needed in advancing knowledge
from science to social and life sciences is
more rigor, not less rigor.
 Problems in science with about 5 variables
need empirical verification, in social science
with 50 variables need mathematical
verification, and in life science with 500
variables need logical verification.
 The fuzzy reality is not a reflection of the
lack of rigor, but that of the expanded range
of tolerance of the (exact) solution to
accommodate mainly the uncertain future
and to make the solution more reliable.