Neurobiological studies have indicated that rapid transitions between chaotic and relatively more ordered states may be the key towards understanding how the brain performs cognitive tasks. This immediately suggests that methods of controlling chaos put forward by Ott et al. and Hunt may be used to
Controlling Chaos in Ecology: From Deterministic to Individual-based Models
✍ Scribed by Ricard V. Solé; Javier G.P. Gamarra; Marta Ginovart; Daniel López
- Publisher
- Springer
- Year
- 1999
- Tongue
- English
- Weight
- 526 KB
- Volume
- 61
- Category
- Article
- ISSN
- 1522-9602
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✦ Synopsis
The possibility of chaos control in biological systems has been stimulated by recent advances in the study of heart and brain tissue dynamics. More recently, some authors have conjectured that such a method might be applied to population dynamics and even play a nontrivial evolutionary role in ecology. In this paper we explore this idea by means of both mathematical and individual-based simulation models. Because of the intrinsic noise linked to individual behavior, controlling a noisy system becomes more difficult but, as shown here, it is a feasible task allowed to be experimentally tested.
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