The logic of knowledge bases / Hector J. Levesque and Gerhard Lakemeyer.
By: Levesque, Hector J
.
Contributor(s): Lakemeyer, Gerhard | IEEE Xplore (Online Service) [distributor.] | MIT Press [publisher.].
Material type: 
BookPublisher: Cambridge, Massachusetts : MIT Press, c2000Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [2001]Description: 1 PDF (xviii, 282 pages).Content type: text Media type: electronic Carrier type: online resourceISBN: 9780262278232.Subject(s): Knowledge representation (Information theory) | Expert systems (Computer science) | Logic, Symbolic and mathematicalGenre/Form: Electronic books.Additional physical formats: Print version: No titleDDC classification: 006.3/32 | 006.3/32 Online resources: Abstract with links to resource Also available in print.Summary: The idea of knowledge bases lies at the heart of symbolic, or "traditional," artificial intelligence. A knowledge-based system decides how to act by running formal reasoning procedures over a body of explicitly represented knowledge--a knowledge base. The system is not programmed for specific tasks; rather, it is told what it needs to know and expected to infer the rest.This book is about the logic of such knowledge bases. It describes in detail the relationship between symbolic representations of knowledge and abstract states of knowledge, exploring along the way the foundations of knowledge, knowledge bases, knowledge-based systems, and knowledge representation and reasoning. Assuming some familiarity with first-order predicate logic, the book offers a new mathematical model of knowledge that is general and expressive yet more workable in practice than previous models. The book presents a style of semantic argument and formal analysis that would be cumbersome or completely impractical with other approaches. It also shows how to treat a knowledge base as an abstract data type, completely specified in an abstract way by the knowledge-level operations defined over it.
Includes bibliographical references and index.
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The idea of knowledge bases lies at the heart of symbolic, or "traditional," artificial intelligence. A knowledge-based system decides how to act by running formal reasoning procedures over a body of explicitly represented knowledge--a knowledge base. The system is not programmed for specific tasks; rather, it is told what it needs to know and expected to infer the rest.This book is about the logic of such knowledge bases. It describes in detail the relationship between symbolic representations of knowledge and abstract states of knowledge, exploring along the way the foundations of knowledge, knowledge bases, knowledge-based systems, and knowledge representation and reasoning. Assuming some familiarity with first-order predicate logic, the book offers a new mathematical model of knowledge that is general and expressive yet more workable in practice than previous models. The book presents a style of semantic argument and formal analysis that would be cumbersome or completely impractical with other approaches. It also shows how to treat a knowledge base as an abstract data type, completely specified in an abstract way by the knowledge-level operations defined over it.
Also available in print.
Mode of access: World Wide Web
Title from title screen.
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