Complex systems (Relié)

David-G Green, Terry-R-J Bossomaier

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  • Cambridge University Press

  • Paru le : 09/06/2000
  • 1 million de livres à découvrir
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This book explores the exciting field of complexity. It features in-depth coverage of important theoretical areas, including fractals, chaos, non-linear dynamics, artificial life and self-organisation. It also provides overviews of complexity in several applied areas, including parallel computation, control systems, neural systems and ecosystems. Some of the properties that best characterise complex systems, including algorithmic richness, non-linearity and abundant interactions between components, are examined, In this way the book draws out themes, especially the ideas of connectivity and natural computation, that reveal deep, underlying similarities between phenomena that have formerly been treated as completely distinct. The idea of natural computation is particularly rich in fresh approaches applicable to both biology and computing. Analogies such as the DNA code as life's underlying program, or organisms as automata, are very compelling. Conversely, biologically inspired ideas such as cellular automata, genetic algorithms and neural networks are at the forefront of advanced computing.
    • Self-organisation in complex systems
    • Network evolution and the emergence of structure
    • Artificial life : growing complex systems
    • Deterministic and random fractals
    • Non-linear dynamics
    • Non-linear control systems
    • Parallel computers and complex systems
    • Are ecosystems complex systems ? Complexity and neural networks.
  • Date de parution : 09/06/2000
  • Editeur : Cambridge University Press
  • ISBN : 0-521-46245-2
  • EAN : 9780521462457
  • Présentation : Relié
  • Nb. de pages : 420 pages
  • Poids : 0.775 Kg
  • Dimensions : 15,5 cm × 23,5 cm × 2,5 cm
Terry Bossomaier and David Green hold Chairs in Information Technology at the Charles Sturt University, Australia. They are co-authors of " Patterns in the Sand ", a popular account of the science of complexity, and co-editors of " Complex Systems - From biology of computation ".

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Complex systems
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