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Emergence of Collective Behavior in Evolving Populations of Flying Agents

Lee Spector1, Jon Klein1,2, Chris Perry1, and Mark Feinstein1

1School of Cognitive Science,
Hampshire College
Amherst, MA 01002, USA

2Physical Resource Theory,
Chalmers U. of Technology and GöteborgUniversity
SE-412 96 Göteborg, Sweden
{lspector,jklein,perry,mfeinstein}@hampshire.edu
http://hampshire.edu/lspector

Abstract. We demonstrate the emergence of collective behavior in two evolutionary computation systems, one an evolutionary extension of a classic (highly constrained) flocking algorithm and the other a relatively un-constrained system in which the behavior of agents is governed by evolved computer programs. We describe the systems in detail, document the emergence of collective behavior, and argue that these systems present new opportunities for the study of group dynamics in an evolutionary context.

LNCS 2723, p. 61 ff.

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