Characterizing self-organization and coevolution by ergodic invariants

Rui Mendes

Physica A: Statistical Mechanics and its Applications, 2000, vol. 276, issue 3, 550-571

Abstract: 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.

Date: 2000
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:276:y:2000:i:3:p:550-571

DOI: 10.1016/S0378-4371(99)00444-6

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