Download e-book for iPad: Computers and Games: 6th International Conference, CG 2008, by Maarten P. D. Schadd, Mark H. M. Winands, H. Jaap van den

By Maarten P. D. Schadd, Mark H. M. Winands, H. Jaap van den Herik (auth.), H. Jaap van den Herik, Xinhe Xu, Zongmin Ma, Mark H. M. Winands (eds.)

ISBN-10: 3540876073

ISBN-13: 9783540876076

This e-book constitutes the refereed lawsuits of the sixth foreign convention on desktops and video games, CG 2008, held in Beijing, China, in September/October 2008 co-located with the thirteenth computing device Olympiad and the sixteenth international Computer-Chess Championship.

The 24 revised complete papers offered have been rigorously reviewed and chosen from forty submissions. The papers hide all elements of synthetic intelligence in computer-game taking part in facing many various examine subject matters, similar to cognition, combinatorial online game conception, seek, wisdom illustration, and optimization.

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Extra info for Computers and Games: 6th International Conference, CG 2008, Beijing, China, September 29 - October 1, 2008. Proceedings

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Raising the value to 120 has a similar negative effect. By adding these basic UCT features to INVADERMC we have created a program that outperforms INVADER. This version of INVADERMC is able to beat INVADER approximately 60% of the time. We now describe further enhancements that move us closer to our best version that achieves a win rate of 80% against INVADER. J. 5 Choosing the Proper Evaluation Function As is the case with most game-playing algorithms, the speed of the evaluation function is critical.

Proof-number search. Artificial Intelligence 66(1), 91–123 (1994) 4. : Life in the Game of Go. L. ) Computer Games, vol. 2, pp. 203–213. Springer, New York (1988) 5. : Search and knowledge in Lines of Action. A. ) Advances in Computer Games 10: Many Games, Many Challenges, pp. 231–248. Kluwer Academic Publishers, Boston (2003) 6. : Monte-Carlo Go Developments. A. ) Advances in Computer Games 10: Many Games, Many Challenges, pp. 159–174. Kluwer Academic Publishers, Boston (2003) 7. : Monte Carlo Go.

We now describe further enhancements that move us closer to our best version that achieves a win rate of 80% against INVADER. J. 5 Choosing the Proper Evaluation Function As is the case with most game-playing algorithms, the speed of the evaluation function is critical. Not only does an evaluation take place with every simulation, but every time a UCT tree node is expanded there will typically be on the order of 1,000 evaluations to perform corresponding to the average number of legal moves from a position.

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Computers and Games: 6th International Conference, CG 2008, Beijing, China, September 29 - October 1, 2008. Proceedings by Maarten P. D. Schadd, Mark H. M. Winands, H. Jaap van den Herik (auth.), H. Jaap van den Herik, Xinhe Xu, Zongmin Ma, Mark H. M. Winands (eds.)


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