This document discusses the progression of human knowledge from pre-science to science to post-science. It argues that pre-science consisted of descriptive knowledge in areas like social science and life science. Science emerged around 1500 AD and focused on empirical verification in fields like physics. However, social science and life science were mistakenly grouped with science. Post-science is said to include social science and life science, which deal with more complex problems requiring fuzzy logic rather than the exact approaches of hard science. The document advocates moving from a focus on hard science to incorporating soft sciences and advancing to new levels of post-science focused on concepts like self-creation, complete automation, and copying the technologies of creators.
Professor Graham Harris presented a seminar titled Dealing with uncertainty: With the observer in the loop as part of the SMART Seminar Series on 13th February 2018.
More information: http://www.uoweis.co/event/dealing-with-uncertainty-with-the-observer-in-the-loop/
Keep updated with future events: http://www.uoweis.co/events/category/smart-infrastructure-facility/
Will humans become posthuman? Adam Ford 2021Adam Ford
Slides for Will Humans become Posthuman debate (affirmative side) at Melbourne Uni 2021.
Video on A Posthuman Future recorded in 2017 by Adam Ford: https://www.youtube.com/watch?v=90cqkzzDT8U
Also here: https://archive.org/details/will-humans-become-posthuman-adam-ford-2021
Do Intelligent Machines, Natural or Artificial, Really Need Emotions?Aaron Sloman
(Updated on 14 Jan 2014 -- with substantial revisions.)
Many people believe that emotions are required for intelligence. I argue that this is mostly based on (a) wishful thinking and (b) a failure adequately to analyse the variety of types of affective states and processes that can arise in different sorts of architectures produced by biological evolution or required for artificial systems. This work is a development of ideas presented by Herbert Simon in the 1960s in his 'Motivational and emotional controls of cognition'.
Professor Graham Harris presented a seminar titled Dealing with uncertainty: With the observer in the loop as part of the SMART Seminar Series on 13th February 2018.
More information: http://www.uoweis.co/event/dealing-with-uncertainty-with-the-observer-in-the-loop/
Keep updated with future events: http://www.uoweis.co/events/category/smart-infrastructure-facility/
Will humans become posthuman? Adam Ford 2021Adam Ford
Slides for Will Humans become Posthuman debate (affirmative side) at Melbourne Uni 2021.
Video on A Posthuman Future recorded in 2017 by Adam Ford: https://www.youtube.com/watch?v=90cqkzzDT8U
Also here: https://archive.org/details/will-humans-become-posthuman-adam-ford-2021
Do Intelligent Machines, Natural or Artificial, Really Need Emotions?Aaron Sloman
(Updated on 14 Jan 2014 -- with substantial revisions.)
Many people believe that emotions are required for intelligence. I argue that this is mostly based on (a) wishful thinking and (b) a failure adequately to analyse the variety of types of affective states and processes that can arise in different sorts of architectures produced by biological evolution or required for artificial systems. This work is a development of ideas presented by Herbert Simon in the 1960s in his 'Motivational and emotional controls of cognition'.
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
Gregory vigneaux design thinking for the end of the worldGregory Vigneaux
This presentation brings together storytelling, design thinking, and complexity as it discusses approaching the difficult challenges facing Colorado’s emergency management community. Focused on problem framing, storytelling is explored as a key step in engaging with complex issues while the audience is invited to think about the stories they are currently telling about problems and consider how they might begin to craft different ones.
Life, Knowledge and Natural Selection― How Life (Scientifically) Designs its ...Adam Ford
See: http://2014.scifuture.org/abstract-life-knowledge-and-natural-selection-co-evolution-of-cognition-and-tools-leads-to-a-singularity-bill-hall/ - Studies of the nature of life, evolutionary epistemology, anthropology and history of technology leads me reluctantly to the conclusion that Moore's Law is taking us towards some kind of post-human singularity. The presentation explores fundamental aspects of life and knowledge, based on a fusion of Karl Popper's (1972) evolutionary epistemology and Maturana and Varela's (1980) autopoietic theory of life to show that knowledge and life must co-evolve, and that this co-evolution leads to exponential growth of knowledge and capabilities to control a planet (and the Universe???). The initial pace, based on changes to genetic heredity, is geologically slow. The addition of the capacity of living cognition for cultural heredity, changes the pace of significant change from millions of years, to millennia. Externalization of cultural knowledge to writing and printing increases the pace to centuries and decades. Networking virtual cultural knowledge at light speed via the internet, increases the pace to years or even months. In my lifetime I have seen the first generation digital computers evolve into the Global Brain.
As long as the requisites for live are available, competition for limiting resources inevitably leads to increasing complexity. Through most of the history of life, a species/individuals' knowledge was embodied in its dynamic structure (e.g., of the nervous system) and genetic heritage that controls the development and regulation of structure. Some vertebrates evolved sufficient neural complexity to support the development of culture and cultural heredity. A few lineages, such as corvids (crows and their relatives), and two largely arboreal primate lineages (African apes and South American capuchin monkeys) independently evolved cultures able to transmit the knowledge to make and use increasingly complex tools from one generation to the next. Hominins, a lineage of tool-using apes forced by climate change around 4-5 million years ago to learn how to survive by extractive foraging and hunting on grassy savannas developed increasingly complex and sophisticated tool-kits for hunting and gathering, such that by around 2.5 million years ago our ancestors replaced most species of what was originally a substantial ecological guild of large carnivores.
Tools extend the physical and cognitive capabilities of the tool-users. In an ecological sense, hominin groups are defined by their shared survival knowledge, and inevitably compete to control limiting resources. Competition among groups led to the slow development of increasingly better stone and organic tools, and a genetically-based cognitive capacity to make and use tools. Homo heidelbergensis, that split into African (H. sapiens), European (Neanderthals), and Asian (Denisovans) some 200,000 years ago evolved complex linguistic capabilities...
Science without the Generalised Theory of EvolutionRahman Khatibi
This talk introduces a Generalised Theory of Evolution as a way of challenging convictions, assumptions and common perceptions and will use contemporary issues to explain the desperate need for its application to the scientific enterprise.
Biological sciences are the source of evolutionary thinking and under the Neo-Darwinian consensus, the thinking is that:
• All species are interconnected with common architecture and common origin
• Evolution takes place at the gene level, via mutations with a machinery for heredity
• Natural selection, working on the effects of mutations, is inevitably a blind architect.
Already science without a GTE is an agent of change by challenging uncorroborated exiting knowledge of the day (often accumulated by unfounded perception-like reason). Science without a GTE is currently the norm but does something peculiar - it produces mutually exclusive end-products (or concepts) often without being challenged. Science with a Generalised Theory of Evolution (GTE) is not yet topical but is feasible, and escalating risks are making the case to seek this architect for “inclusion.”
Keynote Address: PASI 2013 in Methods for Data-Driven DiscoverySantiago Nunez
Science and technology require a broad change of perspective and overview. This presentation addressed the requirements of the Americas for advancing towards world-class scientific leadership with human values at its core.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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
Gregory vigneaux design thinking for the end of the worldGregory Vigneaux
This presentation brings together storytelling, design thinking, and complexity as it discusses approaching the difficult challenges facing Colorado’s emergency management community. Focused on problem framing, storytelling is explored as a key step in engaging with complex issues while the audience is invited to think about the stories they are currently telling about problems and consider how they might begin to craft different ones.
Life, Knowledge and Natural Selection― How Life (Scientifically) Designs its ...Adam Ford
See: http://2014.scifuture.org/abstract-life-knowledge-and-natural-selection-co-evolution-of-cognition-and-tools-leads-to-a-singularity-bill-hall/ - Studies of the nature of life, evolutionary epistemology, anthropology and history of technology leads me reluctantly to the conclusion that Moore's Law is taking us towards some kind of post-human singularity. The presentation explores fundamental aspects of life and knowledge, based on a fusion of Karl Popper's (1972) evolutionary epistemology and Maturana and Varela's (1980) autopoietic theory of life to show that knowledge and life must co-evolve, and that this co-evolution leads to exponential growth of knowledge and capabilities to control a planet (and the Universe???). The initial pace, based on changes to genetic heredity, is geologically slow. The addition of the capacity of living cognition for cultural heredity, changes the pace of significant change from millions of years, to millennia. Externalization of cultural knowledge to writing and printing increases the pace to centuries and decades. Networking virtual cultural knowledge at light speed via the internet, increases the pace to years or even months. In my lifetime I have seen the first generation digital computers evolve into the Global Brain.
As long as the requisites for live are available, competition for limiting resources inevitably leads to increasing complexity. Through most of the history of life, a species/individuals' knowledge was embodied in its dynamic structure (e.g., of the nervous system) and genetic heritage that controls the development and regulation of structure. Some vertebrates evolved sufficient neural complexity to support the development of culture and cultural heredity. A few lineages, such as corvids (crows and their relatives), and two largely arboreal primate lineages (African apes and South American capuchin monkeys) independently evolved cultures able to transmit the knowledge to make and use increasingly complex tools from one generation to the next. Hominins, a lineage of tool-using apes forced by climate change around 4-5 million years ago to learn how to survive by extractive foraging and hunting on grassy savannas developed increasingly complex and sophisticated tool-kits for hunting and gathering, such that by around 2.5 million years ago our ancestors replaced most species of what was originally a substantial ecological guild of large carnivores.
Tools extend the physical and cognitive capabilities of the tool-users. In an ecological sense, hominin groups are defined by their shared survival knowledge, and inevitably compete to control limiting resources. Competition among groups led to the slow development of increasingly better stone and organic tools, and a genetically-based cognitive capacity to make and use tools. Homo heidelbergensis, that split into African (H. sapiens), European (Neanderthals), and Asian (Denisovans) some 200,000 years ago evolved complex linguistic capabilities...
Science without the Generalised Theory of EvolutionRahman Khatibi
This talk introduces a Generalised Theory of Evolution as a way of challenging convictions, assumptions and common perceptions and will use contemporary issues to explain the desperate need for its application to the scientific enterprise.
Biological sciences are the source of evolutionary thinking and under the Neo-Darwinian consensus, the thinking is that:
• All species are interconnected with common architecture and common origin
• Evolution takes place at the gene level, via mutations with a machinery for heredity
• Natural selection, working on the effects of mutations, is inevitably a blind architect.
Already science without a GTE is an agent of change by challenging uncorroborated exiting knowledge of the day (often accumulated by unfounded perception-like reason). Science without a GTE is currently the norm but does something peculiar - it produces mutually exclusive end-products (or concepts) often without being challenged. Science with a Generalised Theory of Evolution (GTE) is not yet topical but is feasible, and escalating risks are making the case to seek this architect for “inclusion.”
Keynote Address: PASI 2013 in Methods for Data-Driven DiscoverySantiago Nunez
Science and technology require a broad change of perspective and overview. This presentation addressed the requirements of the Americas for advancing towards world-class scientific leadership with human values at its core.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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.”