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  3. Complex Systems
  • Cited by 45
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    • Publisher:
      Cambridge University Press
      Publication date:
      04 August 2010
      06 July 2000
      ISBN:
      9780511758744
      9780521462457
      9780521043717
      DOI:
      https://doi.org/10.1017/CBO9780511758744
      Dimensions:
      (228 x 152 mm)
      Weight & Pages:
      0.73kg, 420 Pages
      Dimensions:
      (228 x 152 mm)
      Weight & Pages:
      0.625kg, 420 Pages
      • Subjects:
      Life Sciences, Physics and Astronomy, Nonlinear Science and Fluid Dynamics, Quantitative Biology, Biostatistics and Mathematical Modeling
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    Subjects:
    Life Sciences, Physics and Astronomy, Nonlinear Science and Fluid Dynamics, Quantitative Biology, Biostatistics and Mathematical Modeling
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    Book description

    This book, first published in 2000, 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-organization. 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 characterize 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.

    Reviews

    "Overall, the book is a useful collection of introductory summaries of each area of complexity theory." Mathematics Today

    "[A] complete well-written overview of the current state of the science of complex systems, rich in biological inspired topics that is very worth reading." Ecoscience

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