Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
1999-03-25
Physica A 276 (2000) 550 - 571
Nonlinear Sciences
Adaptation and Self-Organizing Systems
21 pages Latex, 9 eps figures
Scientific paper
In addition to the emergent complexity of patterns that appears when many agents come in interaction, it is also useful to characterize the dynamical processes that lead to their self-organization. A set of ergodic invariants is identified for this purpose, which is computed in several examples, namely a Bernoulli network with either global or nearest-neighbor coupling, a generalized Bak-Sneppen model and a continuous minority model.
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