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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

Inspired by an IRC discussion:

21:16 <Leviathan7> well no one goes to church for good reasons we all know they tha 21:17 <UtopiahGHML> going there for a lack of a better belief to hold to. 21:17 <UtopiahGHML> which makes perfect sense 21:19 <Leviathan7> that's how our biological system work we only do what benefits us, Love is the only thing that breaks this law 21:21 <UtopiahGHML> (on a sidenode, that just gave me an idea for an EE motto : standing *efficiently* on the shoulder of giants, or sth like that) 21:21 <Leviathan7> Or looking upon the giants.. idk 21:22 <UtopiahGHML> http://en.wikipedia.org/wiki/Standing_on_the_shoulders_of_giants 21:23 <Leviathan7> beautiful painting. yes we are the dwarfs 21:29 <UtopiahGHML> I guess Im ok being even smaller if I can get a spot higher to see further away ;)

+ Caee-ecap09

Research

Why

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?"

Creativity is Physical

According to my notes on Programming the Universe

Evolution of natural creative strategies

Evolution of errors

See also Jonathan's reference to Max Weber.

Meta-phylogeny, evolution of "trees"

Usage

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

Directions for future research

Introductory course

Personal work

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.

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).

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

Environment : online innovation platform

Links for official supporting institutions

Papers to read

cf Bibliography

Colors as status

  • currently reading
  • done

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).

To integrate

Page last modified on December 27, 2017, at 03:27 PM