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Titlebook: Representing Uncertain Knowledge; An Artificial Intell Paul Krause,Dominic Clark Book 1993 Springer Science+Business Media Dordrecht 1993 F

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書目名稱Representing Uncertain Knowledge
副標(biāo)題An Artificial Intell
編輯Paul Krause,Dominic Clark
視頻videohttp://file.papertrans.cn/828/827532/827532.mp4
圖書封面Titlebook: Representing Uncertain Knowledge; An Artificial Intell Paul Krause,Dominic Clark Book 1993 Springer Science+Business Media Dordrecht 1993 F
描述The representation of uncertainty is a central issue in Artificial Intelligence (AI) and is being addressed in many different ways. Each approach has its proponents, and each has had its detractors. However, there is now an in- creasing move towards the belief that an eclectic approach is required to represent and reason under the many facets of uncertainty. We believe that the time is ripe for a wide ranging, yet accessible, survey of the main for- malisms. In this book, we offer a broad perspective on uncertainty and approach- es to managing uncertainty. Rather than provide a daunting mass of techni- cal detail, we have focused on the foundations and intuitions behind the various schools. The aim has been to present in one volume an overview of the major issues and decisions to be made in representing uncertain knowl- edge. We identify the central role of managing uncertainty to AI and Expert Systems, and provide a comprehensive introduction to the different aspects of uncertainty. We then describe the rationales, advantages and limitations of the major approaches that have been taken, using illustrative examples. The book ends with a review of the lessons learned and current res
出版日期Book 1993
關(guān)鍵詞Factor; argumentation; artificial intelligence; computer science; design; expert system; intelligence; know
版次1
doihttps://doi.org/10.1007/978-94-011-2084-5
isbn_softcover978-94-010-4925-2
isbn_ebook978-94-011-2084-5
copyrightSpringer Science+Business Media Dordrecht 1993
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https://doi.org/10.1007/978-94-011-2084-5Factor; argumentation; artificial intelligence; computer science; design; expert system; intelligence; know
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The Nature of Uncertainty,nty is central to the development of computer based systems that can successfully execute these tasks. This, in turn, depends upon the adoption of uncertainty management techniques that are appropriate for the particular task in hand.
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roach has its proponents, and each has had its detractors. However, there is now an in- creasing move towards the belief that an eclectic approach is required to represent and reason under the many facets of uncertainty. We believe that the time is ripe for a wide ranging, yet accessible, survey of
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