Emergence from Chaos to Order (Broché)

John-H Holland

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  • Oxford University Press

  • Paru le : 06/03/2000
  • 1 million de livres à découvrir
  • Livraison à domicile à partir de 0,01 €
  • Paiement sécurisé, débit à l'expédition
17,30 €
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In this fascinating book, one of today's most innovative thinkers, John H. Holland, explains the theory of emergence-a simple theory that the whole is greater than the sum of its parts. Emergence demonstrates that a small number of rules or laws can generate incredibly complex systems. From the checkers-playing computer that learnt to beat its creator again and again, or the fertilized egg that can program the development of a trillion-cell organism, to the ant colonies that build bridges over chasms and navigate leaf-boats on streams, and groundbreaking book contains wide-ranging implications for science, business, and the arts. 'He's the man who taught computers how to have sex. And now, for an encore, he's working on a theory to explain the complexity of life and its myriad manifestations on planet earth.' New York Times 'John Holland is an exceptionally imaginative person. Often surprising, and always engaging, he takes the reader on a journey from simplicity to complexity' SIR ROBERT MAY
    • Before We Proceed
    • Games and Numbers
    • Maps, Game Theory, and Computer-Based Modeling
    • Checkers
    • Neural Nets
    • Toward a General Setting
    • Constrained Generating Procedures
    • Samuel's Checkersplayer and Other Models as Cgp's
    • Variation
    • Levels of Description and Reduction
    • Metaphor and Innovation
    • Closing
  • Date de parution : 06/03/2000
  • Editeur : Oxford University Press
  • Collection : popular science
  • ISBN : 0-19-286211-1
  • EAN : 9780192862112
  • Présentation : Broché
  • Nb. de pages : 258 pages
  • Poids : 0.285 Kg
  • Dimensions : 12,9 cm × 19,6 cm × 1,6 cm

Biographie de John-H Holland

John H. Holland is Professor of Psychology and Professor of Electrical Engineering and Computer Science at the University of' Michigan, Ann Arbor. He is a MacArthur Fellow, a Fellow of the World Economic Forum, and co-chairman (with Murray Gell-Mann) of the Science Board of the Santa Fe Institute. He is known worldwide as the 'father of genetic algorithms', and is the author of the ground-breaking bock Hidden Order: How Adaptation Builds Complexity.

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Emergence from Chaos to Order
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