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Titlebook: Learning Search Control Knowledge; An Explanation-Based Steven Minton Book 1988 Kluwer Academic Publishers, Boston 1988 control.intelligenc

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書目名稱Learning Search Control Knowledge
副標(biāo)題An Explanation-Based
編輯Steven Minton
視頻videohttp://file.papertrans.cn/583/582787/582787.mp4
叢書名稱The Springer International Series in Engineering and Computer Science
圖書封面Titlebook: Learning Search Control Knowledge; An Explanation-Based Steven Minton Book 1988 Kluwer Academic Publishers, Boston 1988 control.intelligenc
描述The ability to learn from experience is a fundamental requirement for intelligence. One of the most basic characteristics of human intelligence is that people can learn from problem solving, so that they become more adept at solving problems in a given domain as they gain experience. This book investigates how computers may be programmed so that they too can learn from experience. Specifically, the aim is to take a very general, but inefficient, problem solving system and train it on a set of problems from a given domain, so that it can transform itself into a specialized, efficient problem solver for that domain. on a knowledge-intensive Recently there has been considerable progress made learning approach, explanation-based learning (EBL), that brings us closer to this possibility. As demonstrated in this book, EBL can be used to analyze a problem solving episode in order to acquire control knowledge. Control knowledge guides the problem solver‘s search by indicating the best alternatives to pursue at each choice point. An EBL system can produce domain specific control knowledge by explaining why the choices made during a problem solving episode were, or were not, appropriate.
出版日期Book 1988
關(guān)鍵詞control; intelligence; knowledge; learning; problem solving
版次1
doihttps://doi.org/10.1007/978-1-4613-1703-6
isbn_softcover978-1-4612-8960-9
isbn_ebook978-1-4613-1703-6Series ISSN 0893-3405
issn_series 0893-3405
copyrightKluwer Academic Publishers, Boston 1988
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Related Work,olving situations is the method appropriate?” and “How does the method fare with respect to utility?”. As we will see, the utility issue is often sidestepped, ignored, or “assumed away”. Most researchers have not directly considered the cost and benefits of the methods they have proposed.
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Performance Results,hapter also considers what constitutes an appropriate methodology for evaluating programs with respect to this criterion. Finally, this chapter evaluates the relative contributions made by individual components of the learning system.
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Conclusion,rse case where adding knowledge impairs performance, an all too likely possibility. The results of my research indicate that an EBL system can reliably improve performance by . for effective control knowledge. The choice of target concept and training example, the representation of the resulting con
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Book 1988trol knowledge. Control knowledge guides the problem solver‘s search by indicating the best alternatives to pursue at each choice point. An EBL system can produce domain specific control knowledge by explaining why the choices made during a problem solving episode were, or were not, appropriate.
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0893-3405 EBL system can produce domain specific control knowledge by explaining why the choices made during a problem solving episode were, or were not, appropriate.978-1-4612-8960-9978-1-4613-1703-6Series ISSN 0893-3405
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