Computational Science Technical Note CSTN-188

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Emergent System Effects from Microscopic Evasion Choices in a Predator-Prey Simulation

C. J. Scogings and K. A. Hawick

Archived: 2013

Abstract

A wide range of predator evasion strategies have been reported for several real predator prey systems in the wild. We investigate predator evasion in system of many simulated animal agents. Our model is capable of simulating the emergent effects arising from around a million individual microscopic agents which make individual intelligent choices based on their local information. We find oscillatory and other system wide effects arising from enhanced abilities of prey to evade their predators. We compare some of these effects to real predator-prey observed patterns of behaviour. We find additional oscillatory effects arising when prey can evolve towards different levels of evasive behaviour.

Keywords: agent-based model; animat; overcrowding; prey evasion; evolved behaviour; intelligent agents

Full Document Text: PDF version.

Citation Information: BiBTeX database for CSTN Notes.

BiBTeX reference:

@INPROCEEDINGS{CSTN-188,
        author = {C. J. Scogings and K. A. Hawick},
        title = {Emergent System Effects from Microscopic Evasion Choices in a Predator-Prey
                Simulation},
        booktitle = {Proc. 10th International Conference on Genetic and Evolutionary Methods
                (GEM'13)},
        year = {2013},
        number = {CSTN-188},
        pages = {GEM3895},
        address = {Las Vegas, USA},
        month = {22-25 July},
        publisher = {WorldComp},
        institution = {Computer Science, Massey University, Auckland, New Zealand},
        keywords = {agent-based model; animat; overcrowding; prey evasion; evolved behaviour;
                intelligent agents},
        owner = {kahawick},
        timestamp = {2013.04.22}
}


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