A neural-evolutionary model for case-based planning in real time strategy games

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5579 LNAI, Issue , 2009, Pages 291-300

  Niu, Ben ^a   Wang, Haibo ^a   Ng, Peter H F ^a   Shiu, Simon C K ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Artificial neural network; Case based planning; Genetic algorithm; Real time strategy (RTS) games

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BEST STRATEGY; CASE-BASED PLANNING; EVOLUTIONARY MODELS; GAME PROBLEM; HUMAN LIKE; MACHINE-LEARNING; REAL TIME CONSTRAINTS; REAL TIME STRATEGY (RTS) GAMES; REAL-TIME STRATEGY GAMES; SEARCH SPACES;

BACKPROPAGATION; CONTEXT SENSITIVE GRAMMARS; INTELLIGENT SYSTEMS; LEARNING ALGORITHMS; NEURAL NETWORKS; STRATEGIC PLANNING;

GENETIC ALGORITHMS;

EID: 70350625071     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02568-6_30     Document Type: Conference Paper

References (11)

1. Lent, M.V., Laird, J.: Developing an Artificial Intelligence Engine. In: GDC Proceeding (1999)
2. Hsieh, J.L., Sun, C.T.: Building a player strategy model by analyzing replays of real-time strategy games. In: Neural Networks, IJCNN 2008 (2008)
3. Zanetti, S., Rhalibi, A.E.: Machine learning techniques for FPS in Q3. In: Proceedings of the 2004 ACM SIGCHI International Conference on Advances in computer entertainment technology, Singapore. ACM, New York (2004)
4. Cole, N., Louis, S.J., Miles, C.: Using a genetic algorithm to tune first-person shooter bots. In: Evolutionary Computation, Congress on Evolutionary Computation (2004)
5. Salge, C., Lipski, C., Mahlmann, T., Mathiak, B.: Using genetically optimized artificial intelligence to improve gameplaying fun for strategical games. In: Proceedings of the 2008 ACM SIGGRAPH symposium on Video games, Los Angeles, California. ACM, New York (2008)
6. Louis, S.J., Miles, C.: Playing to learn: case-injected genetic algorithms for learning to play computer games. IEEE Transactions on Evolutionary Computation 9(6), 669-681 (2005)
7. Holland, J.H.: Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. MIT Press, Cambridge (1975)
8. Bourg, D.M., Seeman, G.: AI for Game Developers. O'Reilly Media, Inc., Sebastopol (2004)
9. Forbus, K.D., Mahoney, J.V., Dill, K.: How qualitative spatial reasoning can improve strategy game AIs. IEEE Intelligent Systems 17(4), 25-30 (2002)
10. Chuen-Tsai, S., Liao, Y.H., Lu, J.Y., Zheng, F.M.: Genetic algorithm learning in game playing with multiple coaches. In: Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence (1994)
11. Yi Jack, Y., Teo, J.: An Empirical Comparison of Non-adaptive, Adaptive and Self-Adaptive Co-evolution for Evolving Artificial Neural Network Game Players. In: 2006 IEEE Conference on Cybernetics and Intelligent Systems (2006)