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Characterizing self-organization and coevolution by ergodic invariants

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  • Mendes, R.Vilela

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.

Suggested Citation

  • Mendes, R.Vilela, 2000. "Characterizing self-organization and coevolution by ergodic invariants," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 276(3), pages 550-571.
  • Handle: RePEc:eee:phsmap:v:276:y:2000:i:3:p:550-571
    DOI: 10.1016/S0378-4371(99)00444-6
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    1. Mendes, R.Vilela, 2001. "Structure-generating mechanisms in agent-based models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(3), pages 537-561.

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