A phenotypic analysis of GP-evolved team behaviours

Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference

Volumn , Issue , 2007, Pages 1951-1958

  Doherty, Darren ^a   O'Riordan, Colm ^a  

^a NATIONAL UNIVERSITY OF IRELAND   (Ireland)

Author keywords

Artificial intelligence; Cooperative agents; Genetic programming; Phenotypic analysis; Tactical team behaviour

Indexed keywords

AUTONOMOUS AGENTS; CHROMOSOMES; COMPUTER SIMULATION; GENETIC PROGRAMMING;

COOPERATIVE AGENTS; PHENOTYPIC ANALYSIS; TACTICAL TEAM BEHAVIOR;

ARTIFICIAL INTELLIGENCE;

EID: 34548060953     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1276958.1277347     Document Type: Conference Paper

References (12)

1. M. Barlow, M. Luck, E. Lewis, M. Ford, and R. Cox. Factors in team performance in a virtual squad environment. In SimTecT 2004 Simulation Technology and Training Conference, 2004.
2. M. T. Brannick, E. Salas, and C. Prince. Team Performance Assessment and Measurement: Theory, Methods, and Applications. Lawrence Erlbaum Associates, 1997.
3. M. Buckland. Programming Game AI by Example, chapter Goal-Driven Agent Behaviour, pages 379-415. Wordware Publishing, Inc, 2005.
4. D. Doherty and C. O'Riordan. Evolving agent-based team tactics for combative computer games. In AICS 2006 11th Irish Artificial Intelligence and Cognitive Science Conference, 2006.
5. D. Doherty and C. O'Riordan. Evolving tactical behaviours for teams of agents in single player action games. In CGAMES 2006 9th International Conference on Computer Games: AI, Animation, Mobile, Educational & Serious Games, 2006.
6. T. Haynes, S. Sen, D. Schoenefeld, and R. Wainwright. Evolving a team. In E. V. Siegel and J. R. Koza, editors, Working Notes for the AAAI Symposium on Genetic Programming, Cambridge, MA, 1995. AAAI.
7. T. Haynes, R. Wainwright, S. Sen, and D. Schoenefeld. Strongly typed genetic programming in evolving cooperation strategies. In L. Eshelman, editor, Genetic Algorithms: Proceedings of the Sixth International Conference (ICGA95), pages 271-278, Pittsburgh, PA, USA, 15-19 1995. Morgan Kaufmann.
8. J. R. Koza. Genetic programming: On the programming of computers by means of natural selection. Statistics and Computing, 4(2), 1994.
9. S. Luke, C. Hohn, J. Farris, G. Jackson, and J. Hendler. Co-evolving soccer softbot team coordination with genetic programming. In Proceedings of the First International Workshop on RoboCup, at the International Joint Conference on Artificial Intelligence, Nagoya, Japan, 1997.
10. M. D. Richards, D. Whitley, J. R. Beveridge, T. Mytkowicz, D. Nguyen, and D. Rome. Evolving cooperative strategies for uav teams. In GECCO '05: Proceedings of the 2005 conference on Genetic and evolutionary computation, pages 1721-1728, New York, NY, USA, 2005. ACM Press.
11. P. Sweetser. Current AI in games: A review. Technical report, School of ITEE, University of Queensland, 2002. http://www.itee.uq.edu.au/penny/-papers/ Game AI Review.pdf.
12. C. Thurau, C. Bauckhage, and G. Sagerer. Imitation learning at all levels of game-ai. In Proc. Int. Conf. on Computer Games, Artificial Intelligence, Design and Education, pages 402-408, 2004.