Simulating Adaptation to Environmental Change: Complexity and Organized Behaviour Within Environmental Bounds (COBWEB)

p. [021]-[033]

Abstract

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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References

Bibliographical reference

Brad Bass, Jeff Hill and Nina Suh, « Simulating Adaptation to Environmental Change: Complexity and Organized Behaviour Within Environmental Bounds (COBWEB) », CASYS, 13 | 2002, [021]-[033].

Electronic reference

Brad Bass, Jeff Hill and Nina Suh, « Simulating Adaptation to Environmental Change: Complexity and Organized Behaviour Within Environmental Bounds (COBWEB) », CASYS [Online], 13 | 2002, Online since 15 July 2024, connection on 20 September 2024. URL : http://popups.lib.uliege.be/1373-5411/index.php?id=1646

Authors

Brad Bass

Adaptation & Impacts Research Group, Environment Canada at the University of Toronto, Institute for Environmental Studies

Jeff Hill

Visual Infinity, Inc., Toronto

Nina Suh

Division of the Environment, University of Toronto

Copyright

CC BY-SA 4.0 Deed