Emergent Spatial Agent Segregation

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 selforganisational regimes that emerge from the model.

• Type: Conference
• Year: 2008
• Where: IAT
• Authors: Kenneth A. Hawick, Chris Scogings
• Keywords: Emergent Macroscopic Behaviour, IAT 2008, Intelligent Agent, Microscopic Behavioural Rules, Microscopic Statistical Mechanics