Nonlinear Dynamics, Self-Organization and the Symbolic Representation of Complexity
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Several contributors to this volume produce in their chapters convincing evidence about the usefulness of nonlinear dynamics and self-organization, in the modelling of a variety of concrete problems of relevance in chemistry and biology. In the present chapter we focus on a different aspect. Specifically, we show how nonequilibrium physics and nonlinear dynamics allow us to go one step further than the traditional description of physicochemical and biological systems and set up a symbolic representation in which such concepts as attractors, predictability, probability and information play a prominent role and allow us to better grasp the nature of complexity.
KeywordsHopf Bifurcation Chaotic Dynamic Chaotic Attractor Symbolic Representation Markov Partition
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- 6.Ya Sinai: Introduction to Erqodic Theory (Princeton Univ. Press, Princeton, N.J. 1977)Google Scholar
- 7.G. Nicolis, C. Nicolis: Phys. Rev. A (1987), submittedGoogle Scholar
- 8.G. Nicolis, G. Rao, S. Rao, C. Nicolis: In Coherence and Chaos in Dynamical Systems (Manchester Univ. Press, 1987)Google Scholar