Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2008-07-30
Nonlinear Sciences
Adaptation and Self-Organizing Systems
unformatted version of the textbook; published in Springer, Complexity Series (2008)
Scientific paper
An thorough introduction is given at an introductory level to the field of quantitative complex system science, with special emphasis on emergence in dynamical systems based on network topologies. Subjects treated include graph theory and small-world networks, a generic introduction to the concepts of dynamical system theory, random Boolean networks, cellular automata and self-organized criticality, the statistical modeling of Darwinian evolution, synchronization phenomena and an introduction to the theory of cognitive systems.
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