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

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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 computing device video games are awarded during this e-book. The papers will be of curiosity to these engaging in learn during this box, and to these with technical backgrounds who're mostly . … total, the papers are good written and informative. every one paper comprises appropriate references for these drawn to additional exploration of the subjects discussed." (D. C. Hair, ACM Computing reports, Vol. forty nine (8), August, 2008)

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

Sample text

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. Thus, this section is provided to indicate some of the intended directions of future work. Pilot’s current hill-climbing approach is discussed in more detail in the next section. Enhancement Selection.

F¨ urnkranz [7] identifies the learning of techniques to control search as an area which, “surprisingly. . ” Little work has been done to automate the task of devising a search algorithm along with its various enhancements for a particular purpose. Rather, most work has been focused in the area of search control, which refers to methods that allow a finer granularity of control over the search algorithm. The main forms of learning search control are focusing the search with extensions and reductions, modifying parameters which control the search, and using acquired knowledge to direct the search.

Other related attempts have been made, such as that of Zillions of Games [19], which builds an evaluation function based on a game description. Zillions’s approach might complement the presented work, Pilot, nicely: we are working on high performance search, while Zillions seems to focus on the evaluation. Unfortunately, further details on how Zillions functions is unavailable. The problem is simply stated: how does one find the right combination of enhancements, along with their associated parameters, to maximize the search performance of a game-playing program?

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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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