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Titlebook: Second Generation Expert Systems; Jean-Marc David,Jean-Paul Krivine,Reid Simmons Conference proceedings 1993 Springer-Verlag Berlin Heidel

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書目名稱Second Generation Expert Systems
編輯Jean-Marc David,Jean-Paul Krivine,Reid Simmons
視頻videohttp://file.papertrans.cn/864/863126/863126.mp4
圖書封面Titlebook: Second Generation Expert Systems;  Jean-Marc David,Jean-Paul Krivine,Reid Simmons Conference proceedings 1993 Springer-Verlag Berlin Heidel
描述Second Generation Expert Systems have been a very activefield of researchduring the last years. Much work has beencarried out to overcome drawbacks of first generation expertsystems. This book presents an overview andnewcontributions from people who have played a major role inthisevolution. It is divided in several sections that coverthe main topics ofthe subject:- Combining Multiple Reasoning Paradigms- Knowledge Level Modelling- Knowledge Acquisition in Second Generation Expert Systems- Explanation of Reasoning- Architectures for Second Generation Expert Systems.This book can serve as a reference book for researchersandstudents and will also be an invaluable help forpractitionersinvolved in KBS developments.
出版日期Conference proceedings 1993
關(guān)鍵詞Expertensysteme; evolution; expert Systems; expert system; knowledge; knowledge engineering; modeling
版次1
doihttps://doi.org/10.1007/978-3-642-77927-5
isbn_softcover978-3-642-77929-9
isbn_ebook978-3-642-77927-5
copyrightSpringer-Verlag Berlin Heidelberg 1993
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978-3-642-77929-9Springer-Verlag Berlin Heidelberg 1993
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The componential framework and its role in reusabilitytives: models, methods, and tasks. A workbench is introduced that supports the interactive specification of knowledge level models. The role of the symbol level is described. The problem of reuse is briefly discussed within this context.
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Conference proceedings 1993 first generation expertsystems. This book presents an overview andnewcontributions from people who have played a major role inthisevolution. It is divided in several sections that coverthe main topics ofthe subject:- Combining Multiple Reasoning Paradigms- Knowledge Level Modelling- Knowledge Acqui
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Multiple Models for Emergency Planninged to predict the results of the plan, and a quantitative model used to verify the correctness of the plans towards numerical constraints. We will describe the benefits of this architecture for emergency planning systems, and the possibilities offered by the coupling of models and heuristics, for instance to reason with incomplete information.
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