Chrilly Donninger, Ulf Lorenz (auth.), H. Jaap van den's Advances in Computer Games: 11th International Conference, PDF

By Chrilly Donninger, Ulf Lorenz (auth.), H. Jaap van den Herik, Shun-Chin Hsu, Tsan-sheng Hsu, H. H. L. M. (Jeroen) Donkers (eds.)

ISBN-10: 3540488871

ISBN-13: 9783540488873

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"Papers from the eleventh foreign convention on Advances in desktop video games are awarded during this booklet. The papers can be of curiosity to these carrying out learn during this box, and to these with technical backgrounds who're more often than not . … total, the papers are good written and informative. every one paper comprises appropriate references for these attracted to additional exploration of the subjects discussed." (D. C. Hair, ACM Computing reports, Vol. forty nine (8), August, 2008)

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Extra info for Advances in Computer Games: 11th International Conference, ACG 2005, Taipei, Taiwan, September 6-9, 2005. Revised Papers

Example text

However, Pilot is rapidly outgrowing this decision, and this capability will be added. 30 M. Hlynka and J. Schaeffer Thus, while we hope to see good enhancements selected, we also hope that not all enhancements are selected, or the benefits will be unclear compared to simply selecting all enhancements. However, this is partly a function of the evaluation method used. Since we use search tree sizes, and most enhancements reduce the size of the tree, a certain amount of correlation must be expected.

Analysis and Learning. In Fig. 1, Pilot’s next phase consists of analysis and learning from the experimental data. This involves making intelligent decisions from the statistics generated in the evaluation phase and integrating it with the acquired knowledge of the system. The current prototype of Pilot, however, is much more simplistic. It executes a straightforward hill-climbing algorithm based on search tree size, which is exactly what a human would do. While Pilot is currently able to gather detailed search tree statistics, this ability is not used in these initial experiments.

After constructing the partial information 10-piece databases we verified that Partial Information Endgame Databases 19 Table 3. Max table for partial databases, 5 vs. 5 checkers. Each entry is the percentage of resolved positions. 7 6 5 4 3 2 7 16 26 35 35 40 62 6 25 38 48 53 63 81 5 33 49 62 66 79 84 4 37 56 71 80 86 91 3 44 68 81 86 91 97 2 70 84 88 88 95 100 all bounds were consistent with the actual values in the previously computed 10-piece databases. Table 3 shows some results for the 5-checker vs.

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Advances in Computer Games: 11th International Conference, ACG 2005, Taipei, Taiwan, September 6-9, 2005. Revised Papers by Chrilly Donninger, Ulf Lorenz (auth.), H. Jaap van den Herik, Shun-Chin Hsu, Tsan-sheng Hsu, H. H. L. M. (Jeroen) Donkers (eds.)


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