Principles of Knowledge Representation

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Last edited by MARC Bot
August 6, 2024 | History

Principles of Knowledge Representation

The book contains a collection of eight survey papers written by some of the most excellent researchers in foundations of knowledge representation and reasoning. It covers topics like theories of uncertainty, nonmonotonic and causal reasoning, logic programming, abduction, inductive logic programming, description logics, complexity in Artificial Intelligence, and model based diagnosis.

It thus provides an up-to-date coverage of recent approaches to some of the most challenging problems underlying knowledge representation and Artificial Intelligence in general.

Publish Date
Language
English
Pages
318

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Previews available in: English

Edition Availability
Cover of: Principles of Knowledge Representation
Principles of Knowledge Representation
June 21, 2002, Center for the Study of Language and Inf
Paperback in English

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Book Details


Edition Notes

Center for the Study of Language and Information - Lecture Notes

Classifications

Library of Congress
BD161 .B74 1996, BD161.B74 1996

The Physical Object

Format
Paperback
Number of pages
318
Dimensions
9 x 6 x 0.8 inches
Weight
1.1 pounds

ID Numbers

Open Library
OL8746267M
Internet Archive
principlesofknow0000unse_q5q9
ISBN 10
1575860562
ISBN 13
9781575860565
LCCN
96023338
OCLC/WorldCat
34782744
Library Thing
294300
Goodreads
6888626

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History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
August 6, 2024 Edited by MARC Bot import existing book
September 28, 2021 Edited by ImportBot import existing book
November 23, 2020 Edited by MARC Bot import existing book
August 27, 2020 Edited by ImportBot import existing book
April 30, 2008 Created by an anonymous user Imported from amazon.com record