What comes after science? Two types of technology: man-made technology and universe-centered technology Two types of data: invariant data and variant data How Life Is Lived In Different Times

1. from Pre-Science to Science to Post-Science
Post-Science knowledge revolution
• Pre-Science (?- 1500 AD) – mostly 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
(Robot/Machine is good, but human is better.)
(Evolution is good, but self-creation is better.)
(Exact is good, but fuzzy is better.) 1

2. How Life Is Lived In Different Times
• Pre-Religion: Like an insect.
• Religion: Like a monk.
• Pre-Science: Like an animal.
• Science: Like a robot.
Post-Science
• Social Science: Like a human with the solution of value.
• Life Science: Like a creator with the solution of complete automation.
• Self-creation: Permanently, like a likable and worthy human.
Permanent existence.

3. Two types of technology
1. Man-made technology
technology of created
( before year 2000 AD on earth )
 Man-made laws
 Partially automated
 Self-centered view
 Earth-centered view
 Science-centered view
 From the viewpoint of human
 Artificial standard of computer source
code: English-like source code
 Temperate and finite
 Globalization
2. Universe-centered technology
technology of creators
( - infinite to + infinite )
Best example : the existing living system/DNA
 Non-violable laws of nature
 Completely automated
 Universe-centered view
 From the viewpoint of living system/creator
 Nature standard of computer source code :
Integer-like source code
 Permanent
 Universalization
 Infinite and permanent
 Joining the Wisdom and the Heritage of the
Universe

4. Two types of data:
invariant data and variant data
exact data and fuzzy (or tolerant) data
Science ( EXACT )
Hard science
Physics, Chemistry, biology
Post – Science ( FUZZY/EXACT)
Soft science
Social Science and Life Science
Exact and finite consideration
Exact solution
Certainty
Only invariant data can be obtained
from comparison or similarities
Invariant data (example : speed of
light )
Fuzzy data outside of Science
Fuzzy exact solution
Fuzzy Infinite Spreadsheet
Fuzzy Certainty
Fuzzy invariant data
( example: rate of return )
Fuzzy variant data
( example : price, decision )
Variant data should be obtained by calculation
where the input are expressed as invariant data

5. Acceptance Theory of Knowledge
The foundation of knowledge is faith, not reason.
Economics belongs to Social Science or Soft Science not Hard Science.
Knowledge period Criterion for the acceptance of solutions
Physical Science - 5 variables
Gravitation , planetary motion, animal motion (
jumpulse 25 variables) , laws of nature
Empirical Verification
empirical verification With the assumption of
invariance ( the law of uniformity )
Social Science - 50 variables
Economics, value , prices, laws of nature in
social science
Mathematical Verification within the
range of tolerance for social science.
Solutions in social science are mathematical relationships
corresponding to reality.
Life Science - 500 variables
Computer Science , DNA,
best example: the living system
Logic Verification for satisfying the requirement of
permanence by complete automation and by the expansion of
the range of tolerance for the coverage of all the possibilities
of the uncertain future 5

6. Soft Science : Social Science and Life Science
Post-Science (2000-4000+) Fuzzy + Exact
Knowledge is based on faith ( reality ) , not reason ( mathematics, logics ).
From : Man-Made Technology
Technology of created/engineering
To : The Existing Nature’s Technology
Universe-centered technology
Man-Made law
Self –centered
Earth-centered
Human-centered
Non-Violable laws of nature regulate all
human and material behaviors
Artificial Standard
English-like source code
Science-centered
Nature Standard
Integer-like source code
best example: DNA(0,1,2,3)
Partially automated
Finite consideration
Completely automated
Best example: The Living System
All the computers in the world cannot match
a single cell
self-generated software cell
Universal Permanent Software is one cell.
Life is multi-cells.
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7. Soft Science : Social Science and Life Science
Post-Science (2000-4000+) Fuzzy + Exact
Anti-Establishment before 2000
Knowledge is based on faith (reality), not reason (mathematics, logic).
From : Man-Made Technology
(Mathematics, Logic, Science)
To : The Existing Nature’s
Technology
(Reality and the living system)
Human-Centered view
( Artificial )
Nature-Centered view
( Natural )
Finite simple narrow Temporary
partial automated
Infinite complicate deep
Permanent complete automated
Earth-Centered view
Globalization
Universe-Centered view
Universalization
money , politics, complexity crises,
chronicle financial crises
Knowledge accumulation in DNA ,
complete automation, the living system,

8. THE GOAL OF KNOWLEDGE
 The ultimate goal of knowledge is to achieve
permanence, in order to have the last laugh.
 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.

9. 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).

10. Analyses of Big Data
 The concept of Big Data is a natural progression of computer
development and represents a new phenomenon, not a fad.
 Big Data can be classified into four types:
1. Invariant Data (e.g. speed of light, Planck Constant)
2. Fuzzy Invariant Data (e.g. medical survey, languages)
3. Variant Data (e.g. prices, calculated, not surveyed data)
4. Approximately-Invariant Variant Data (e.g. human
decisions within the range of tolerance, market
comparable inputs in social science, such as rate of
return, growth rate and interest rate.)
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11. Science, Social Science, & Life Science
 Science is based on empirical verification and faith in the law
of uniformity (what happened in the past will happen in the
future.). Science deals with Invariant Data and 5 variables.
 Due to the consideration of infinity, which, by definition, never
arrives, social science, which deals with around 50 variables,
must be based on mathematical rigor.
 When the final variable is Variant Data, it is calculated from a
deterministic system and is not empirically verifiable.
 Life or computer science, such as DNA and computer
software, dealing with around 500 variables, must be based
on logic due to unlimited complexity and the involvement of
infinity. DNA itself is Big Data, and its effect is not
subjected to empirical verification. 11

12. References
 Paul Feyerabend: Farewell to Reason and Against Method, UC B
 Gerard Debreu (& Kenneth Arrow): Theory of Value: AN AXIOMATIC
ANALYSIS OF ECONOMIC EQUILIBRIUM, UC B
 Lotfi A. Zadeh: Fuzzy Logic, UC B
 Ta-You Wu: Jumpulse
 Chitoor V. Ramamoorthy: von Neumann Syndrome, UC B
 Tosiyasu L. Kunii: Homotopy Theory
 Sumner Davis: First to remark: “Science does not have Variant Data.”
UC B
 Hugh Ching: “Quantitative Supply and Demand Model Based on
Infinite Spreadsheet” (Pat. No. 6,078,901) and “Completely Automated
and Self-generating Software System” (Pat. No. 5,485,601) UC B
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