Computational Science Technical Note CSTN-203

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Towards an Agent-Based Simulation of Predators Developing a Search Image

C. J. Scogings

Archived: 2015

Abstract

Predators build a "search image" to rapidly detect common prey and exclude other possibilities. Prey respond with "apostatic selection" and produce mutations with previously unknown color variations. This process has been observed since the 1960s but is difficult to validate with real populations. The use of agent-based simulations presents the opportunity to explore specific changes to predators and/or prey in a controlled environment using artificial animals. This article investigates the effects on predator and prey populations of specific changes in behaviour and finds that search images may actually be detrimental to predator success and that prey color mutation may benefit the overall predator population.

Keywords: agent-based model; animat; search image; apostatic selection; intelligent agents CUDA

Full Document Text: Not yet available.

Citation Information: BiBTeX database for CSTN Notes.

BiBTeX reference:

@TECHREPORT{CSTN-203,
        author = {C. J. Scogings},
        title = {Towards an Agent-Based Simulation of Predators Developing a Search Image},
        institution = {Computer Science, Massey University},
        year = {2015},
        number = {CSTN-203},
        month = {March},
        note = {Submitted to: 12th International Conference on Modeling, Simulation and Visualization Methods (MSV'15)}
        keywords = {agent-based model; animat; search image; apostatic selection; intelligent agents},
        owner = {dpplayne},
        timestamp = {2015.03.31}
}


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