Handbook of Knowledge Representation (PDF)
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Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems.
This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering.
This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI.
* Make your computer smarter* Handle qualitative and uncertain information
* Improve computational tractability to solve your problems easily
- 2008, 1034 Seiten, Englisch
- Herausgegeben: Frank van Harmelen, Vladimir Lifschitz, Bruce Porter
- Verlag: Elsevier Science & Techn.
- ISBN-10: 0080557023
- ISBN-13: 9780080557021
- Erscheinungsdatum: 08.01.2008
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- Dateiformat: PDF
- Größe: 6.21 MB
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