A comprehensive evaluation of the methods for evolving a cooperative team

Artificial Life and Robotics

Volumn 10, Issue 2, 2006, Pages 157-161

  Suzuki, Yasuyuki ^a   Arita, Takaya ^a  

^a NAGOYA UNIVERSITY   (Japan)

Author keywords

Cooperative behavior; Genetic algorithm; Multiagent system; Ultimately simplified soccer game

Indexed keywords

EID: 33750740138     PISSN: 14335298     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10015-005-0354-8     Document Type: Article

References (6)

1. T Haynes S Sen D Schoenefeld 1995 Evolving a team. Working Notes for the AAAI Symposium on Genetic Programming MIT Press Cambridge, MA 23-30
2. Miconi T (2001) A collective genetic algorithm. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), Morgan Kaufmann, San Francisco, CA, pp 876-883
3. Quinn M, Smith L, Mayley G, et al. (2002) Evolving formation movement for a homogeneous multi-robot system: Teamwork and role allocation with real robots. Cognitive Science Research Paper 515, School of Cognitive and Computing Sciences, University of Sussex, Brighton
4. Luke S (1998) Genetic programming produced competitive soccer softbot teams for RoboCup97. Proceedings of the 3rd Annual Genetic Programming Conference (GP), Morgan Kaufmann, San Francisco, CA, pp 204-222
5. Potter MA, De Jong KA (1994) Cooperative coevolutionary approach to function optimization. Proceedings of the 3rd Parallel Problem Solving from Nature (PPSN), Springer Berlin, pp 249-257
6. Asai Y, Arita T (2003) Coevolution of morphology and behavior of robots in a multi-agent environment (in Japanese). Proceedings of the SICE 30th Intelligent System symposium, The Society of Instrument and Control Engineers, Tokyo, pp 61-66