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＜電子ブック＞
Foundations of Knowledge Representation and Reasoning / edited by Gerhard Lakemeyer, Bernhard Nebel
(Lecture Notes in Artificial Intelligence. ISSN:29459141 ; 810)

版	1st ed. 1994.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	1994
本文言語	英語
大きさ	IX, 363 p : online resource
著者標目	Lakemeyer, Gerhard editor Nebel, Bernhard editor SpringerLink (Online service)
件　名	LCSH:Artificial intelligence LCSH:Machine theory FREE:Artificial Intelligence FREE:Formal Languages and Automata Theory
一般注記	Foundations of knowledge representation and reasoning -- Collective entities and relations in concept languages -- Computing extensions of terminological default theories -- A formalization of interval-based temporal subsumption in first order logic -- Normative, subjunctive and autoepistemic defaults -- Abductive reasoning with abstraction axioms -- Queries, rules and definitions as epistemic sentences in concept languages -- The power of beliefs or translating default logic into standard autoepistemic logic -- Learning an optimally accurate representation system -- Default reasoning via negation as failure -- Weak autoepistemic reasoning and well-founded semantics -- Forming concepts for fast inference -- A common-sense theory of time -- Reasoning with analogical representations -- Asking about possibilities — Revision and update semantics for subjunctive queries Extended report -- On the impact of stratification on the complexity of nonmonotonic reasoning -- Logics of mental attitudes in AI -- Hyperrational conditionals -- Revision by expansion in logic programs This collection of thoroughly refereed papers presents state-of-the-art research results by well-known researchers on the foundations of knowledge representation and reasoning. In addition, there are two surveys, one by the volume editors intended as a guide to this book and another by Shoham and Cousins on mental attitudes. In total, the volume provides a well-organized report on current research in knowledge representation, which is one of the central subfields of AI. Except the surveys, the papers grew out of a workshop on Theoretical Foundations of Knowledge Representation and Reasoning, held in conjunction with the 10th European Conference on Artificial Intelligence (ECAI-92) in Vienna in August 1992 HTTP:URL=https://doi.org/10.1007/3-540-58107-3

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