Automatically generating game tactics through evolutionary learning

AI Magazine

Volumn 27, Issue 3, 2006, Pages 75-84

  Ponsen, Marc ^a   Muñoz Avila, Héctor ^b   Spronck, Pieter ^a   Aha, David W ^c  

^a MAASTRICHT UNIVERSITY   (Netherlands)

^b Lehigh University   (United States)

^c NAVAL RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; ARTIFICIAL INTELLIGENCE; EVOLUTIONARY ALGORITHMS; GAME THEORY;

COMPUTER-CONTROLLED OPPONENTS; EVOLUTIONARY LEARNING; EVOLUTIONARY STATE-BASED TACTICS GENERATOR (ESTG); GAME TACTICS;

LEARNING SYSTEMS;

EID: 33750138766     PISSN: 07384602     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (16)

1. Aha, D.; Molineaux, M.; and Ponsen, M. 2005. Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game. In Proceedings of 6th International Conference on Case-Based Reasoning (ICCBR-05), Lecture Notes in Computer Science 3620, 5-20. Berlin: Springer-Verlag.
2. Cheng, D., and Thawonmas, R. (2004). Case-Based Plan Recognition for Real-Time Strategy Games. In Proceedings of the 5th International Conference on Intelligent Games and Simulation (GAME-ON-04), 36-40.
3. Zwijnaarde, Belgium: European Multidisciplinary Society for Modelling and Simulation Technology.
4. Cohen, P. (1996). Empirical Methods for Artificial Intelligence. IEEE Expert: Intelligent Systems and Their Applications 11(6): 88.
5. Demasi, P., and Cruz, A. (2002). Online Coevolution for Action Games. Paper presented at the 3rd International Conference on Intelligent Games and Simulation (GAME-ON 2002), 113, 120, November 29-30.
6. Goldberg, D. 1989. Genetic Algorithms in Search, Optimization and Machine Learning. Reading, MA: Addison-Wesley.
7. Guestrin, C.; Koller, D.; Gearhart, C.; and Kanodia, N. 2003. Generalizing Plans to New Environments in Relational MDPs. In Proceedings of Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-03), 1003-1010. San Francisco: Morgan Kaufmann Publishers.
8. Kaelbling, L.; Littman, M.; and Moore, A. 1996. Reinforcement Learning: A Survey. Journal of Artificial Intelligence Research 4: 237-285.
9. Laird, J., and van Lent, M. 2000. Human-Level AI's Killer Application: Interactive Computer Games. In Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, 1171-1178. Menlo Park, CA: AAAI Press.
10. Marthi, B.; Russell, S.; and Latham, D. 2005. Writing Stratagus-Playing Agents in Concurrent ALisp. Paper presented at the Workshop on Reasoning, Representation and Learning in Computer Games, IJCAI-05, Edinburgh, Scotland, 31 July.
11. Nareyek, A. 2004. AI in Computer Games. Queue 1(10), 58-65.
12. Ponsen, M., and Spronck, P. (2004). Improving Adaptive Game AI with Evolutionary Learning. In Proceedings of Computer Games: Artificial Intelligence, Design and Education (CGAIDE-04), 389-396. Manhasset, NY: CMP Media.
13. Rabin, S. 2004. AI Game Programming Wisdom 2. Hingham, MA: Charles River Media.
14. Schaeffer, J. 2001. A Gamut of Games. AI Magazine, 22 (3): 29-46.
15. Spronck, P.; Sprinkhuizen-Kuyper, I.; and Postma, E. 2004. Online Adaptation of Game Opponent AI with Dynamic Scripting. International Journal of Intelligent Games and Simulation 3(1): 45-53.
16. Sutton, R., and Barto, A. (1998). Reinforcement Learning. An Introduction. Cambridge, MA: The MIT Press.