Complex Systems

Complex Systems

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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 more

Product details

  • Electronic book text
  • Cambridge University Press (Virtual Publishing)
  • Cambridge, United Kingdom
  • 1139243462
  • 9781139243469

Table of contents

1. Introduction Terry R. J. Bossomaier and David G. Green; 2. Self-organisation in complex systems David G. Green; 3. Network evolution and the emergence of structure D. A. Seeley; 4. Artificial life: growing complex systems Z. Aleksic; 5. Deterministic and random fractals John E. Hutchinson; 6. Non-linear dynamics D. E. Stewart and R. L. Dewar; 7. Non-linear control systems M. R. James; 8. Parallel computers and complex systems G. C. Fox and P. D. Coddington; 9. Are ecosystems complex systems? R. H. Bradbury, David G. Green and N. Snoad; 10. Complexity and neural networks Terry R. J. Bossomaier; more

Review quote

"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." Ecoscienceshow more