Evolving coordination strategies in simulated robot soccer

Authors:
André L. V. Coelho;Daniel Weingaertner
Affiliations:
DCA, FEEC, State University of Campinas (Unicamp), Campinas, SP, Brazil;DCA, FEEC, State University of Campinas (Unicamp), Campinas, SP, Brazil
Venue:
Proceedings of the fifth international conference on Autonomous agents
Year:
2001

Citing 2
Cited 0

Multiagent systems: a modern approach to distributed artificial intelligence

Multiagent systems: a modern approach to distributed artificial intelligence
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents

Evolutionary Computation

Quantified Score

Hi-index	0.01

Visualization

Abstract

This paper describes research investigating the evolution of coordination strategies in robot soccer teams. Each player (viewed as an agent) is provided with a common set of skills and is assigned to perform over a delimited area inside a soccer field. The idea is to optimize the whole team behavior by means of a spatial co- adaptation process in which new players are selected in such a way to comply with the already existing ones.