Animat agents are usually formulated as spatially located agents that interact according to some microscopic behavioural rules. We use our predator-prey animat model to explore spatial segregation and other self-organising effects. We compare the emergent macroscopic behaviour with that of non-intelligence models such as those governed solely by microscopic statistical mechanics rules. We report on an emergent separation of sub-species amongst our prey animats when a very simple genetic marker is used and a microscopic breeding preference is introduced. We discuss some quantitative metrics such as the spatial density of animats and the density-density correlation function and how these can be used to categorize the different self-organisational regimes that emerge from the model.
Keywords: animat; spatial agent; segregation; phase separation; self-organisation.
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Citation Information: To appear in Proc 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, Sydney 8-9 December 2008.