| 书目名称 | Search and Planning Under Incomplete Information | | 副标题 | A Study Using Bridge | | 编辑 | Ian Frank | | 视频video | | | 丛书名称 | Distinguished Dissertations | | 图书封面 |  | | 描述 | This book updates the thesis I produced for my PhD at the Department of Artificial Intelligence of the University of Edinburgh, correcting errors, and improving some of the formatting and readability. Since the original work was completed (early 1996), research has progressed. Most notably, the public profile of AI and game-playing has reached new heights with the feats of the chess computer DEEPER BLUE (which surely uses AI, no matter what IBM would have us believe). Although less heralded, the ability of computers to play Bridge (the main example domain in this book) has also increased. In July of 1997 a world championship for computer Bridge programs was hosted by the American Contract Bridge League in Albuquerque, New Mex ico. This contest was won by a program called Bridge Baron, produced by Great Game Products. Bridge Baron incorporates knowledge-based planning techniques developed by Stephen Smith and Dana Nau [1, 2]. Progress has also been made on the contrasting, more brute-force, approach of sampling the possible card distributions. In particular, Matt Ginsberg has developed a fast double-dummy solver based on partition search [3]. Ginsberg‘s program fared poorly in the | | 出版日期 | Book 1998 | | 关键词 | Pattern Matching; algorithms; computer science; game theory; incomplete information; search algorithm; unc | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4471-1594-6 | | isbn_softcover | 978-1-4471-1596-0 | | isbn_ebook | 978-1-4471-1594-6 | | copyright | Springer-Verlag London Limited 1998 |
The information of publication is updating
|
|
发表于 2025-3-21 17:32:13
