Download e-book for kindle: Advances in Artificial Intelligence: 13th Biennial by Jonathan Schaeffer, Aske Plaat (auth.), Howard J. Hamilton

By Jonathan Schaeffer, Aske Plaat (auth.), Howard J. Hamilton (eds.)

ISBN-10: 3540454861

ISBN-13: 9783540454861

ISBN-10: 3540675574

ISBN-13: 9783540675570

This e-book constitutes the refereed complaints of the thirteenth Biennial convention of the Canadian Society for Computational stories of Intelligence, AI 2000, held in Montreal, Quebec, Canada, in may well 2000. The 25 revised complete papers awarded including 12 10-page posters have been rigorously reviewed and chosen from greater than 70 submissions. The papers are geared up in topical sections on video games and constraint delight; traditional language processing; wisdom illustration; AI purposes; desktop studying and knowledge mining; making plans, theorem proving, and synthetic lifestyles; and neural networks.

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Download e-book for kindle: Advances in Artificial Intelligence: 13th Biennial by Jonathan Schaeffer, Aske Plaat (auth.), Howard J. Hamilton

This booklet constitutes the refereed complaints 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 offered including 12 10-page posters have been rigorously reviewed and chosen from greater than 70 submissions.

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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

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As before CDBB selects constraints C1 and C2 to form the cover. It visits 4 nodes in all and performs 2 constraint checks. As before, if a different set of constraints is selected to form the cover, CDBB visits a different number of nodes each time. It turns out that if C1 and C3 are selected, CDBB visits 3 nodes in all, and if C2 C3 are selected it visits 6 nodes in all. The algorithm finds a similar solution that violates 1 constraint. 6 Analysis of CDBB If Ccover is a minimal constraint cover, |Ccover | ≤ |V |.

Rossi, C. Petrie, and V. Dhar. On the equivalence of constraint satisfaction problems. In Proceedings of the 9th European Conference on Artificial Intelligence, pages 550–556, 1990. [15] J. Thornton and A. Sattar. Dynamic constraint weighting for over-constrained problems. In Proceedings of the 5th Pacific Rim International Conference on Artificial Intelligence (PRICAI’98), pages 377–388, 1998. [16] C. Voudouris and E. P. K. Tsang. Guided local search. European Journal of Operational Research, 113-2, 1999.

The depth of a win is not necessarily what makes a position hard to solve. If the winning move is obviously better than the other moves, particularly if all other moves lose quickly, the solution is not difficult to see. However, in the positions used in the test, the longest losing lines had a median length of 17 and a maximum length of 23. The correct decision between such deep wins and deep losses is extremely difficult to find. It should also be noted that these are all winning positions at the beginning of the game, and as such they are the most difficult of all 6 × 6 Hex problems.

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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.)


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