Computers and Games: 7th International Conference, CG 2010, by Broderick Arneson, Ryan B. Hayward, Philip Henderson

By Broderick Arneson, Ryan B. Hayward, Philip Henderson (auth.), H. Jaap van den Herik, Hiroyuki Iida, Aske Plaat (eds.)

This e-book constitutes the refereed complaints of the seventh overseas convention on pcs and video games, CG 2010, held in Kanazawa, Japan, in September 2010. The 24 papers offered have been conscientiously reviewed and chosen for inclusion during this booklet. They conceal quite a lot of themes resembling monte-carlo tree seek, proof-number seek, UCT set of rules, scalability, parallelization, establishing books, wisdom abstraction, fixing video games, session of avid gamers, multi-player video games, extraversion, and combinatorial online game concept. additionally a variety of computing device video games is handled, reminiscent of chinese language Checkers, chinese language Chess, Connect6, cross, Havannah, strains of motion, Pckomino, Shogi, Surakarta, and Yahtzee.

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Computers and Games: 7th International Conference, CG 2010, Kanazawa, Japan, September 24-26, 2010, Revised Selected Papers

This ebook constitutes the refereed complaints of the seventh foreign convention on pcs and video games, CG 2010, held in Kanazawa, Japan, in September 2010. The 24 papers provided have been conscientiously reviewed and chosen for inclusion during this publication. They hide a variety of subject matters akin to monte-carlo tree seek, proof-number seek, UCT set of rules, scalability, parallelization, commencing books, wisdom abstraction, fixing video games, session of gamers, multi-player video games, extraversion, and combinatorial online game concept.

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Additional resources for Computers and Games: 7th International Conference, CG 2010, Kanazawa, Japan, September 24-26, 2010, Revised Selected Papers

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Applying such evaluation functions raises three issues. (1) They take too much time. The reduction in number of nodes per second should be compensated by the benefit of a smaller search tree. (2) They violate the assumption that the pn and dpn are lower bounds on the effort required to solve the tree [1]. The positive influence of different initializations may at the same time result in negative effects. , Othello) it is necessary to perform a large number of experiments to fine-tune the initialization process.

We also find that for competition time controls scaling to thousands of threads is impossible not necessarily due to MCTS not scaling, but because high levels of parallelism can start to bump up against the upper performance bound of Fuego itself. 1 Introduction The parallelization of UCT across multiple-machines has proven surprisingly difficult. The limitations of existing parallel algorithms was evident in the 19x19 Computer Go tournament at the 2009 Computer Olympiad. In this competition Zen took first place running on a single four-core machine, Fuego came in second running on ten, eight-core machines, and Mogo placed third running on twenty, thirty-two core machines.

2. 3. When expanding an AND node n, Verifier may generate a large number of moves as mentioned above. In the case that n is not proved but one sibling of n is proved, it may waste resources to generate all the children of n, especially when the number of children is quite large. The dilemma is that it is hard to decide when Verifier should terminate node expansion. Verifier provides no domain-specific knowledge so that these moves are not ordered for search. When Verifier generates a large number of moves from an AND node, this problem is even more serious.

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