Why do Evolutionary Systems Stick to the Edge of Chaos

dc.creatorde Oliveira, Paulo Murilo Castro
dc.date2001-01-11
dc.date.accessioned2026-07-07T02:40:01Z
dc.date.available2026-07-07T02:40:01Z
dc.descriptionThe long-term behaviour of dynamic systems can be classified in two different regimes, regular or chaotic, depending on the values of the control parameters, which are kept constant during the time evolution. Starting from slightly different initial conditions, a regular system converges to the same final trajectory, whereas a chaotic system follows two distinct trajectories exponentially diverging from each other. In spite of these differences, regular and chaotic systems share a common property: both arrive exponentially fast to their final destiny, becoming trapped there. In both cases one has finite transient times. This is not a profitable property in what concerns evolutionary strategies, where the eternal search for new forms, better than the current one, is imperative. That is why evolutionary dynamic systems tend to tune themselves in very particular situations in between regular and chaotic regimes. These particular situations present eternal transients, and the system actually never reaches its final destiny, preserving diversity. This feature allows the system to visit other regions of the space of possibilities, not only the tiny region covered by its final attractor.
dc.description24 pages, plain tex, 5 PS figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0101170
dc.identifierhttp://arxiv.org/abs/cond-mat/0101170
dc.identifierTheory in Biosciences 120(1) (2001)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/17246
dc.subjectCondensed Matter
dc.subjectPopulations and Evolution
dc.titleWhy do Evolutionary Systems Stick to the Edge of Chaos
dc.typetext

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