Simulating Adaptation to Environmental Change: Complexity and Organized Behaviour Within Environmental Bounds (COBWEB)
p. [021]-[033]
Résumé
The architecture, Complexity and Organized Behaviour Within Environmental Bounds (COBWEB), was developed to support an anticipatory approach to adaptation. COBWEB consists of a large number of autonomous agents, each a genetic algorithm, using different strategies to adapt to changing resource availability. Anticipatory genetic algorithms, that are Turing complete, as well as mutation are used to allow the agents to respond to a changing environment. The simulation has four attractors, which exhibit sensitivity to initial conditions, and the spatial patterns of the agents exhibit wide variation as well as local structure, which might indicate adapive or anticipatory behaviour
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Référence papier
Brad Bass, Jeff Hill et Nina Suh, « Simulating Adaptation to Environmental Change: Complexity and Organized Behaviour Within Environmental Bounds (COBWEB) », CASYS, 13 | 2002, [021]-[033].
Référence électronique
Brad Bass, Jeff Hill et Nina Suh, « Simulating Adaptation to Environmental Change: Complexity and Organized Behaviour Within Environmental Bounds (COBWEB) », CASYS [En ligne], 13 | 2002, mis en ligne le 15 July 2024, consulté le 20 September 2024. URL : http://popups.lib.uliege.be/1373-5411/index.php?id=1646