Creating human-like autonomous players in real-time first person shooter computer games

Proceedings of the 21st Innovative Applications of Artificial Intelligence Conference, IAAI-09

Volumn , Issue , 2009, Pages 173-178

  Wang, Di ^a   Subagdja, Budhitama ^a   Tan, Ah Hwee ^b   Ng, Gee Wah ^c  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c DSO NATIONAL LABORATORIES   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER GAME; FIRST PERSON SHOOTER; GAME ENVIRONMENT; HUMAN INTERVENTION; HUMAN PLAYERS; SELF-ORGANIZING NEURAL NETWORK; TURING TESTS; UNREAL TOURNAMENT; VIRTUAL AGENT;

COMPETITION; INTELLIGENT AGENTS; INTELLIGENT VIRTUAL AGENTS; NEURAL NETWORKS; REINFORCEMENT; VIRTUAL REALITY;

SOFTWARE AGENTS;

EID: 74949124943     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Carpenter, G. A., and Grossberg, S. 2003. Adaptive Resonance Theory. In The Handbook of Brain Theory and neural Networks. MIT Press. 87-90.
2. Carpenter, G. A.; Grossberg, S.; and Rosen, D. B. 1991. Fuzzy ART: Fast Stable Learning and Categorization of Analog Patterns by an Adaptive Resonance System. Neural Networks 4:759-771.
3. Cook, D. J.; Holder, L. B.; and Youngblood, G. M. 2007. Graph-Based Analysis of Human Transfer Learning Using a Game Testbed. IEEE Transaction on Knowledge and Data Engineering 19:1465-1478.
4. Hy, R. L.; Arrigoni, A.; Bessiere, P.; and Lebetel, O. 2004. Teaching Bayesian Behaviours to Video Game Characters. Robotics and Autonomous Systems 47:177-185.
5. Kim, I. C. 2007. UTBot: A Virtual Agent Platform for Teaching Agent System Design. Journal of Multimedia 2:48-53.
6. Louis, S. J., and Miles, C. 2005. Playing to Learn: Case-Injected Genetic Algorithms for Learning to Play Computer Games. IEEE Transaction on Evolutionary Computation 9:669-681.
7. Miles, C., and Louis, S. J. 2006. Towards the Co-Evolution of Influence Map Tree Based Strategy Game Players. In Proceedings of IEEE Symposium on Computational Intelligence and Games, 75-82.
8. Spronck, P.; Ponsen, M.; Sprinkhuizen-Kuyper, I.; and Postma, E. 2006. Adaptive Game AI with Dynamic Scripting. Machine Learning 63:217-248.
9. Stanley, K. O.; Bryant, B. D.; and Miikkulainen, R. 2005. Real-Time Neuroevolution in the NERO Video Game. IEEE Transaction on Evolutionary Computation 9:653-668.
10. Tan, A.-H.; Carpenter, G. A.; and Grossberg, S. 2007. Intelligence through Interaction: Towards a Unified Theory for Learning. In Proceedings of International Symposium on Neural Networks, 1094-1103.
11. Tan, A.-H.; Lu, N.; and Xiao, D. 2008. Integrating Temporal Difference Methods and Self-Organizing Neural Networks for Reinforcement Learning with Delayed Evaluative Feedback. IEEE Transactions on Neural Networks 9(2):230-244.
12. Tan, A.-H. 2004. FALCON: A Fusion Architecture for Learning, COgnition, and Navigation. In Proceedings of International Joint Conference on Neual Networks, 3297-3302.
13. Tan, A.-H. 2007. Direct Code Access in Self-Organizing Neural Networks for Reinforcement Learning. In Proceedings of International Joint Conference on Artificial Intelligence, 1071-1076.
14. Xiao, D., and Tan, A.-H. 2007. Self-Organizing Neural Architectures and Cooperative Learning in Multi-Agent Environment. IEEE Transactions on Systems, Man, and Cybernetics - Part B 37(6): 1567-1580.