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The 21 revised complete papers provided including one keynote article have been rigorously chosen in the course of rounds of reviewing and development from 37 submissions. The papers hide all features of synthetic intelligence in computer-game taking part in. issues addressed are evaluate and studying, seek, combinatorial video games and thought starting and endgame databases, single-agent seek and making plans, and desktop Go.
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And Helmstetter, B. (2003). Monte-Carlo Go Developments. Advances in Computer Games. Many Games, Many Challenges (ACG-10 Proceedings) (eds. J. van den Herik, H. A. Heinz), pp. 159-174. Kluwer Academic Publishers, Boston, MA. ISBN 1-4020-7709-2. 7. Brügmann, B. (1993). Monte Carlo Go. ps 8. , (1998). Monte-Carlo Sampling in Games with Imperfect Information: Empirical Investigation and Analysis. Research report of the Complex Games Lab, Ibaraki, Japan. 9. , and Viola, P. (1998). Machine Learning for Prediction and Control.
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