Characterizing self-organization and coevolution by ergodic invariants

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dc.creatorMendes, R. Vilela
dc.date1999-03-25
dc.date.accessioned2026-07-07T01:51:03Z
dc.date.available2026-07-07T01:51:03Z
dc.descriptionIn 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.
dc.description21 pages Latex, 9 eps figures
dc.identifierhttps://arxiv.org/abs/adap-org/9903007
dc.identifierhttp://arxiv.org/abs/adap-org/9903007
dc.identifierPhysica A 276 (2000) 550 - 571
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/194
dc.subjectAdaptation and Self-Organizing Systems
dc.titleCharacterizing self-organization and coevolution by ergodic invariants
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