Computational Science Technical Note CSTN-056

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Emergent Spatial Agent Segregation

K. A. Hawick and C. J. Scogings

Archived June 2008

Abstract

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.

Full Document Text: PDF version.

Citation Information: BiBTeX database for CSTN Notes.

BiBTeX reference:

@INPROCEEDINGS{CSTN-056,
  author = {K.A. Hawick and C.J. Scogings},
  title = {Emergent Spatial Agent Segregation},
  booktitle = {Proc 2008 IEEE/WIC/ACM International Conference on Intelligent Agent
	Technology},
  year = {2008},
  pages = {34-40},
  address = {Sydney, Australia},
  month = {8-9 December},
  publisher = {IEEE/WIC/ACM},
  note = {ISBN 978-0-7695-3496-1},
  timestamp = {2008.11.19}
}


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