Foundations of knowledge representation and reasoning

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 Co...

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Détails bibliographiques
Auteur principal: Lakemeyer, Gerhard, 1957-
Autres auteurs: Nebel, Bernhard, 1956- (Directeur de la publication)
Format: Livre numérique
Langue:Anglais
Publié: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Collection:Lecture notes in computer science. Lecture notes in artificial intelligence 810
Sujets:
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Edition sous un autre format:• Foundations of knowledge representation and reasoning, Gerhard Lakemeyer, Bernhard Nebel (eds.), Berlin, Springer-Verlag, 1994, 1 vol. (VIII-355 p.), Lecture notes in computer science, 0-387-58107-3
• Foundations of Knowledge Representation and Reasoning, Texte imprimé, 9783662192511
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505 0 |a 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. 
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520 |a 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. 
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