By Jonathan Schaeffer, Aske Plaat (auth.), Howard J. Hamilton (eds.)
This ebook constitutes the refereed lawsuits of the thirteenth Biennial convention of the Canadian Society for Computational stories of Intelligence, AI 2000, held in Montreal, Quebec, Canada, in could 2000. The 25 revised complete papers awarded including 12 10-page posters have been conscientiously reviewed and chosen from greater than 70 submissions. The papers are prepared in topical sections on video games and constraint pride; ordinary language processing; wisdom illustration; AI functions; computer studying and knowledge mining; making plans, theorem proving, and synthetic existence; and neural networks.
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Additional info for Advances in Artificial Intelligence: 13th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2000 Montéal, Quebec, Canada, May 14–17, 2000 Proceedings
In section 4 we illustrate the execution of the algorithm on a simple example. Section 5 describes the partial constraint satisfaction model and the CDBB algorithm which is a structure driven algorithm based on the 28 Sivakumar Nagarajan, Scott Goodwin, and Abdul Sattar dual constraint graph. Our experimental results (section 7) indicate that CDBB consistently finds better solutions much more quickly than BTBB (backtracking with branch and bound). 2 Preliminary Definitions Let V, D, C be a CSP where V is the set of variables, D are their domains, and C is the set of constraints.
Campbell, A. J. Hoane, and F. Hsu. Search Control Methods in Deep Blue. AAAI Spring Symposium on Search Techniques for Problem Solving under Uncertainty and Incomplete Information, pages 19–23. AAAI Press, 1999. [Don93] C. Donninger. Null Move and Deep Search: Selective Search Heuristics for Obtuse Chess Programs. Journal of the International Computer Chess Association, 16(3):137–143, 1993. [ET76] S. Even and R. E. Tarjan. A combinatorial problem which is complete in polynomial space. Journal of the Association for Computing Machinery, 23:710–719, 1976.
It is of course not to be taken for granted that these results will persist on larger board sizes. On the other hand, it should be noted that perfect play on a 6 × 6 board is far from trivial. One piece of anecdotal evidence is that Queenbee has actually disproved some of the common beliefs of strong Hex players about certain opening moves. Equipped with the perfect opening book and a powerful search to fill in the blanks where the opening book ends, Queenbee plays stronger than any human player on board sizes up to 6 × 6.
Advances in Artificial Intelligence: 13th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2000 Montéal, Quebec, Canada, May 14–17, 2000 Proceedings by Jonathan Schaeffer, Aske Plaat (auth.), Howard J. Hamilton (eds.)