书目名称 | Knowledge-Free and Learning-Based Methods in Intelligent Game Playing | 编辑 | Jacek Mańdziuk | 视频video | http://file.papertrans.cn/545/544246/544246.mp4 | 概述 | provides a comprehensive overview of Knowledge-free and learning-based methods in intelligent game playing | 丛书名称 | Studies in Computational Intelligence | 图书封面 |  | 描述 | Humans and machines are very di?erent in their approaches to game pl- ing. Humans use intuition, perception mechanisms, selective search, creat- ity, abstraction, heuristic abilities and other cognitive skills to compensate their (comparably) slow information processing speed, relatively low m- ory capacity, and limited search abilities. Machines, on the other hand, are extremely fast and infallible in calculations, capable of e?ective brute-for- type search, use “unlimited” memory resources, but at the same time are poor at using reasoning-based approaches and abstraction-based methods. The above major discrepancies in the human and machine problem solving methods underlined the development of traditional machine game playing as being focused mainly on engineering advances rather than cognitive or psychological developments. In other words, as described by Winkler and F¨ urnkranz [347, 348] with respect to chess, human and machine axes of game playing development are perpendicular, but the most interesting, most promising, and probably also most di?cult research area lies on the junction between human-compatible knowledge and machine compatible processing.I undoubtedly share this | 出版日期 | Book 2010 | 关键词 | artificial intelligence; computational intelligence; evolution; knowledge; knowledge discovery; learning; | 版次 | 1 | doi | https://doi.org/10.1007/978-3-642-11678-0 | isbn_softcover | 978-3-642-26213-5 | isbn_ebook | 978-3-642-11678-0Series ISSN 1860-949X Series E-ISSN 1860-9503 | issn_series | 1860-949X | copyright | Springer-Verlag Berlin Heidelberg 2010 |
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