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Wissen gewinnen und gewinnen durch Wissen
[Gaining knowledge and winning with knowledge]

Author

Listed:
  • Fent, Thomas

Abstract

According to Alfred Korzybski (1921) humans unlike plants and animals have the property to bind time, i.e. they are able to transfer experience through time. Humans are capable to collenct knowledge from the past and communicate their knowledge to the future. This paper investigates the possibilities and limitations to describe this capability by algorithms and implement it in artificial learning systems.

Suggested Citation

  • Fent, Thomas, 2000. "Wissen gewinnen und gewinnen durch Wissen [Gaining knowledge and winning with knowledge]," MPRA Paper 2838, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:2838
    as

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    File URL: https://mpra.ub.uni-muenchen.de/2838/1/MPRA_paper_2838.pdf
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    References listed on IDEAS

    as
    1. Martin J. Osborne & Ariel Rubinstein, 1994. "A Course in Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262650401, April.
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    More about this item

    Keywords

    knowledge; game theory; artificial adaptive agents; learning classifier systems; genetic algorithms;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games

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