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 Drive <- Strategical Epistemology <- Bibliography <- EpistemicModel <- Result (+ Visualization + BackEnd + PhylogeneticFlowProgramming) <- Experiments (+ Datasets ) 

"<-" = Backtrack Learning

Non pas des verites acquises mais l'idee d'une recherche libre

Maurice Merleau-Ponthy
on the walls of the College de France

CAEE : Standing efficiently on the shoulders of giants

Research

• computer assisted evolutionary epistemology (C.A.E.E.)
• collaborative p2p epistemology (see stigmergylive from TheLab)

Why

• Why doing this research and writing it down in a wiki?
  • Because it allows to structure thought on the long term and hopefully avoid wasteful dispersion and deficit of attention. Having a long term focus, even if not successful regarding its initial goal should still be in itself a positive process.
• Why a wiki in particular?
  • see WhyWikis but overall to be allowed to organize thoughts while keeping a certain flexibility.
• Why this domain?
  • to develop but overall epistemology is central because of its consequences, cf StrategicalEpistemology
• Why this particular hypothesis?
  • because so far it seems to be the more logical and fruitful one, cf also Motivation

Leading principles

Survival leads to problem solving

Living organisms are pressured toward the same goal, maintaining homeostasis. They all developed solutions to do so. Consequently, life with and without intelligence is a continuous problem solving mechanism. Evolution and its result, the phylogeny tree, is the biological exploration to this constraint in a changing environment.

phylogeny is the biological answer over time to the question "How to survive in the current environment?"

• my hypothesis is that this is an exploration of the solution space
  • the implication is that this is part of a larger phylogeny answering the same question (this should be visualized by putting the current phylogeny within a bigger one)
    • the consequence is that culture, technology, etc are further exploratio to this larger solution space but that the same evolutionary still aply and thus that the techniques related to phylogeny should be generalized

Creativity is Physical

According to my notes on Programming the Universe

• information is physical (2), computation is physical
  • thus creativity is physical too
    • consider Newconcepts#QuantumDarwinism as its potential low-level physical engine
  • Pointcarre's metaphor on ideas as atoms from my notes Hadamard's The Mathematician's Mind

Evolution of natural creative strategies

• creativity/diversity engines in nature in a chronological order
  • asexual
  • sexual
  • ...
• not a tree of biological species nor a tree of their solutions to competition
• inspired by
  • the principle that creativity is physical
  • reading Demons in Eden

Evolution of errors

• evolution of
  • bias (micro)
  • cognitive error (meso)
  • conceptual framework (macro)
    • examples
      • helicentrism
      • anthropocentrism
      • deitism

See also Jonathan's reference to Max Weber.

Meta-phylogeny, evolution of "trees"

Usage

• organize and potentialy synthesize
  • making it "portable/mind sizable" is the first step in being able to use it
• detect potential correlation
  • METATREE: Comparison of multiple alternative phylogenies by Newcastle University
• evaluate priorities
• detect the pace of evolution
  • to produce estimation for the potential next change

Process

1. gathering data on constructed phylogenies
   1. first biological phylogenies
      1. Phylogeny.fr Robust Phylogenetic Analysis For The Non-Specialist
      2. Inferring Phylogenies by Joseph Felsenstein, Sinauer Associates 2004
   2. propositions in Research.Visualization
   3. Evolutionary of natural creative strategies
   4. Evolution of errors
   5. gathered ones based on my interests
      1. http://en.wikipedia.org/wiki/Outline_of_epistemology#History_of_epistemology
      2. http://en.wikipedia.org/wiki/Timeline_of_cosmology
         1. http://en.wikipedia.org/wiki/List_of_timelines#Science
      3. http://en.wikipedia.org/wiki/History_of_science
      4. http://en.wikipedia.org/wiki/History_of_ideas
      5. http://en.wikipedia.org/wiki/History_of_the_book
      6. http://www.levenez.com/lang/
   6. ...

Resources

• The evolution of life history: A meta-analysis of phylogeny and demography in terrestrial plants, 94th ESA Annual Meeting August 2009
• Inferring Phylogenies by Joseph Felsenstein, Sinauer Associates 2004
• Trees of Trees : An Approach to Comparing Multiple Alternative Phylogenies, Systematic biology 2008, vol. 57

Directions for future research

• define this to live a unique life

Introductory course

• philosophical basis
  • biological evolution : Darwin
    • universal darwinism : Dawkins
      • evolutionary epistemology : Campbell/Munz/Cziko/...
      • process = finding a pattern, generalizing, applying to another domain
• epistemology in general
  • actors (individuals, institutions, ...)
  • processes (learning, discovering, transforming, transferring, mashing up, locking, ...)
  • mapping the domain
    • role of IP
• theoretical foundations
  • mathematical framework
    • information geometry (see Research.InformationGeometry)
  • recursive structures/patterns (fractals, ...)
  • computational framework
    • AI, machine learning, ...
• objective
  • use technical framework to facilitate innovation
    • assisting tools trough computational scientometrics
  • Current related applications
    • ToC of The Genie in the Machine: How Computer-Automated Inventing Is Revolutionizing Law and Business, Robert Plotkin, SUP 2009
    • DE*SYN: A design research think tank to support challenges in bio-inspired design synthesis by Zann Gill and her 2 related books
• clarify the "book" structure
  • make it "dynamic", a book that can be read but also "executed"
    • either directly with code (better) or at least with workflows
    • each chapter having its associated code
    • SemanticWiki book?
• in the same way that you can't apply Heisenberg uncertainty principle everywhere, you can't apply evolutionary principles everywhere
  • so explain cleary what does make it more likely to effectively apply to creativity
    • evolution being "pervasive" + "natural" solution that created our existing "solution finder"

Personal work

• Origin : the history of idea management
  • The context of innovation
• Required definitions (see Generals Foundations)
• State of the art
  • Alternatives
  • Complementary perspectives (non-software) (see Interactions)
• Proposed solution
  • resulting model
    • Evolutionary epistemology (unfinished schema)
    • computational support and justification of this choice
    • detailed process
  • resulting tool
    • Seedea entry point
    • functionnalities
    • Architecture
    • expectations
    • known lacks
  • positioning of the tool in a more general process (see Integration)
• Experimental protocol
  • expected results
  • Actual Statistics of usage
• Conclusion
• Discussion

Generals foundations

way too broad... Introducing the work in a much broader context, those renown work provide fundamentals that will be used to go further. They must be clarified first in order to discuss the topic with a common understanding of the problem at hand.

Should be organized in key disciplines around a map of concepts.

• cognitive scaffolding by A. Clark
• affordance by J. Gibson
• recursive self-improvement by C. Darwin, R. Kurzweil
• Ontogenesis/Autopoeisis by Francisco Varela
• Without Miracles : Cultural Knowledge as the Evolution of Tradition, Technology, and Science by Gary Cziko
• Karl Popper evolutionary epistemological equation
• Fractal Universe : A Pictorial Hypothesis by Colin Hillfractal universe and Fractal cosmology, it relates to the usage or appearance of fractals in the study of the universe or cosmos. (very broad, to introduce carefuly)
• recursivity
• Selection Theory Bibliography by Gary A. Cziko and Donald T. Campbell

Labs with the state of the art

imprecise, lack of direct examples CREA

Those are too related to general learning instead of real epistemological advancement (about machine supported learning but NOT directly linked with creativity).

• Garry Cziko at the Educational Psychology, College of Education, University of Illinois
  • author of Without Miracle
• Michael Merzenich, neuroscience at UCSF
  • speaker of Think faster focus better and remember moreRewiring our brain to stay younger and smarter at Google

Experimental protocol

This protocol serve as a way to provide a way to falsify the theory and prove that so far, it is coherent.

Environment : classrooms on innovation

• test m classrooms with and n-m without
• during a period of time during which the interactions of groups are impossible to remove comparison on exchange of methods/tools
• evaluate their result by someone who does not know who uses what (double blind, eventually using OSEO or another "official" method)
• establish if there is a correlation link betwheen the tool used and the result produced

Environment : online innovation platform

• random blind and verification thanks to perfect randomization eventually inspired by Google Image Game and CMU reCAPTCHA (except that it seems they don't use random user matching result here, to check)
  • Seedea.Statistics

Links for official supporting institutions

• CIFRE
• Phoenix
• Comment sauver les docteurs ?

Papers to read

cf Bibliography

See also PersonalInformationStream for current readings

1. The Venturesome Economy: How Innovation Sustains Prosperity in a More Connected World by Amar Bhide, Princeton University Press, Autumn 2008
2. Creative destruction Joseph Schumpeter popularized and used the term to describe the process of transformation that accompanies radical innovation.
   1. The Upside of Down - The Argument by Thomas Homer-Dixon
3. How We Evolve by Benjamin Phelan for Seed Magazine (October 7, 2008)
   1. Interesting opening on Lahn Lab work from the Department of Human Genetics of The University of Chicago, especially regarding potential gene pools difference of pace according to environmental pressure and thus still happening today
4. IEI's Patented Creativity Machine Paradigm, Result so far are private. Ability to integrate it? (sounds very coherent with C.A.E.E.) Doesn't look like Frank Rosenblatt (inventor of the Perceptron), not even Stephen Thaler from IEI who supposedely combined the Perceptron with the Imagitron)
5. Stigmergic Collaboration: A Theoretical Framework for Mass Collaboration by Dr Mark Alan Elliott (2007)
   PhD thesis, Centre for Ideas, Victorian College of the Arts, University of Melbourne. (read only the first third, cf online notes)
   1. Stigmergic collaboration - Meta Collab
   2. Heylighen F. (2007). Why is Open Access Development so Successful? Stigmergic organization and the economics of information, in: B. Lutterbeck, M. Baerwolff & R. A. Gehring (eds.), Open Source Jahrbuch 2007, Lehmanns Media, 2007, p. 165-180.
   3. Rodriguez, M.A., Collectively Generated Model of the World, Collective Intelligence: Creating a Prosperous World at Peace, eds. M. Tovey, pages 261-264, EIN Press, ISBN:09715-6616X, Oakton, Virgina, November 2007.
   4. Collective Decision Making Systems (CDMS) project to eventually go further than InTrade.net (theoretically interesting but much less popular)
   5. Ant Attack, BBC Natural World, 2006
   6. Ants - Natures Secret Power, Wolfgang Thaler, 2004
   7. Stigmergic epistemology, stigmergic cognition by Leslie Marsh, Christian Onof for Cognitive Research System, June 2007
   8. A game-theoretic interpretation of Marcel Mauss' ‘The gift’ by Robert Rider for The Social Science Journal, Volume 35, Issue 2, 1998, Pages 203-212
      1. Notes on The evolution of cooperation : Axelrod, Robert
6. Darwin's Blind Spot: Evolution Beyond Natural Selection by Frank Ryan November 3, 2003
   1. to check against Without Miracle by Gary Cziko
7. Out of Control - Chapter 5: Coevolution by Kevin Kelly, 1995
   1. MIT Center for Collective Intelligence
      1. How can people and computers be connected so that—collectively—they act more intelligently than any individuals, groups, or computers have ever done before? (seems very similar to our stated goal in CoEvolution)
   2. Notes de lecture Du mode d'existence des objets techniques par Gilbert Simondon, 1958
8. The Interactive Nature of Computing: Refuting the Strong Church-Turing Thesis by Dina Goldin, Peter Wegner, Brown University, 2007
   1. Algorithmic information theory
   2. Programming the Universe by Seth Lloyd, 2006 (ISBN 978-1-4000-4092-6, read only the first third)
   3. Physical Limits of Computing by Michael P. Frank, 2002
9. Market Intelligence for Innovation & Product Life-Cycle - Case Examples for Global Intelligence Alliance, April 2008
   1. Including development on biomimicry
10. lower priority
11. even lower...

Trendy vocabulary

Useful for keywords in searches but also to get funding (example of nanotech vs. classical chemistry terms).

• open innovation
• continuous innovation
• check with
  • http://www.springerexemplar.com/
  • http://www.google.com/trends

To integrate

• personal work
  • A - Description technologique du projet CoEvolution
  • E:\Work\Co-Evolution\Recherche
  • E:\Work\Co-Evolution\research IA
• Ideonomy : the dream of Patrick Gunkel about his website. (not that relevant)
• Is Anything Ever New? Considering Emergence by James P. Crutchfield
• Smart World by Richard Ogle (and its "Further Reading")
• Intelligence amplification/Man-Computer Symbiosis
• Bot participation to collaborative environment : Intelligence in Wikipedia by Daniel S. Weld for Google, November the 11th 2008
  • especially the feedback loop @33:00
• Creativity techniques "There is an analogy between many creativity techniques and methods of evolutionary computation."
• On writting
  • The Elements of Style, William Strunk, Jr.
  • Politics and the English Language by George Orwell
  • Einstein's "The supreme goal of all theory is to make the irreducible basic elements as simple and as few as possible without having to surrender the adequate representation of a single datum of experience" often paraphrased as "Theories should be as simple as possible, but no simpler."
  • Standing on the shoulders of giants
  • Are you a quack? by Warren Siegel
• Evolutionary epistemology
  • Sciences et politique en France from Continent Science on France Culture, December the 15th, 2008
    • especially from 0:10:00
• Evolutionary tools "curiosities"
  • Evochef v0.2 , evolutionary epistemology applied to recipes
• Folie et créativité for Les Années lumière on Radio-Canada.ca - Découverte
• Cziko's The Things We Do (read, notes to add)
  • Strangely he never mentions enaction or work by Varela!
• A Guide for Writing Scientific Papers for studies and research in. Micro- and nanotechnologies at. Vestfold University College that mentions From Research to Manuscript - A Guide to Scientific Writing by Michael Jay Katz, Springer 2009, 2nd edition
• Epistemology, scientific method, and statistics from University of Ottawa - Bio 4118 – Applied Biostatistics, 2002
• Methodspace "home of the Research Methods community from across the world" by SAGE
• myExperiment find, use and share scientific workflows and other Research Objects
  • myGrid » Taverna automation of experimental methods through the use of a number of services, including Web Services.
• The "P vs. NP" Problem: Efficient Computation, Internet Security, and the Limits of Human Knowledge by Avi Wigderson, Institute for Advanced Study 2008
  • "If P=NP, we have fast automatic finder. <<Creativity>> can be efficiently automated. " min36
• So, you know what’s important? by Daniel Lemire, March 2010
  • "greedy algorithms can be pretty good. They can certainly beat 5-year plans"
• Knowledge The illustrated guide to a Ph.D. Made by Matt Might