Adaptive spatial reasoning for turn-based strategy games

Proceedings of the 4th Artificial Intelligence and Interactive Digital Entertainment Conference, AIIDE 2008

Volumn , Issue , 2008, Pages 161-166

  Bergsma, Maurice ^a   Spronck, Pieter ^a  

^a TILBURG UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ASSET ALLOCATION; GAME AI; MACHINE LEARNING TECHNIQUES; SPATIAL REASONING; STRATEGY GAMES; SUBTASKS; TASK DECOMPOSITION;

ARTIFICIAL INTELLIGENCE; HUMAN COMPUTER INTERACTION; INVESTMENTS; LEARNING SYSTEMS;

ARCHITECTURE;

EID: 84883125094     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Bergsma, M. 2008. Adaptive spatial reasoning for turnbased strategy games. Master's thesis, Maastricht University.
2. Bryant, B. D., and Miikulainen, R. 2007. Acquiring visibly intelligent behavior with example-guided neuroevolution. In Proceedings of the Twenty-Second National Conference on Artificial Intelligence. Menlo Park, CA: AAAI Press.
3. Buro, M., and Furtak, T. 2003. RTS games as test-bed for real-Time AI research. Workshop on Game AI, JCIS 2003 20.
4. Chellapilla, K., and Fogel, D. 1999. Evolution, neural networks, games, and intelligence. In Proceedings of the IEEE, volume 87:9, 1471-1496.
5. Dill, K. 2006. Prioritizing actions in a goal-based RTS AI. AI Game Programming Wisdom 3:331-340.
6. Hinrichs, T. R., and Forbus, K. D. 2007. Analogical learning in a turn-based strategy game. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, 853-858.
7. Miles, C.; Quiroz, J.; Leigh, R.; and Louis, S. J. 2007. Coevolving influence map tree based strategy game players. In Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Games, 88-95. New York: IEEE Press.
8. Obradovic, D. 2006. Case-based decision making in complex strategy games. Master's thesis, Kaiserslautern, Germany.
9. Pollack, J., and Blair, A. 1998. Co-evolution in the successful learning of backgammon strategy. Machine Learning 32(3):225-240.
10. Sanchez-Pelegrin, R.; Gomez-Martin, M. A.; and Diaz- Agudo, B. 2005. A CBR module for a strategy videogame. In Aha, D.W., andWilson, D., eds., 1st Workshop on Computer Gaming and Simulation Environments, at 6th International Conference on Case-Based Reasoning (ICCBR), 217-226.
11. Stanley, K., and Miikkulainen, R. 2002. The dominance tournament method of monitoring progress in coevolution. In Rabin, S., ed., Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2002) Workshop Program. Hingham, MA: Charles River Media.
12. Sweetser, P. 2006. Strategic decision-making with neural networks and influence maps. AI Game Programming Wisdom 3:439-446.
13. Tozour, P. 2004. Using a spatial database for runtime spatial analysis. AI Game Programming Wisdom 2:381-390.
14. Ulam, P.; Goel, A.; and Jones, J. 2004. Reflection in action: Model-based self-Adaptation in game playing agents. In Challenges in Game Artificial Intelligence: Papers from the 2004 AAAI Workshop, 86-90.
15. Yao, X. 1999. Evolving artificial neural networks. In Proceedings of the IEEE, volume 87, 1423-1447.
16. Zitzler, E.; Laumanns, M.; and Thiele, L. 2001. SPEA2: Improving the Strength Pareto Evolutionary Algorithm. Technical Report 103, Swiss Federal Institute of Technology, Zurich, Switzerland.