Knowledge management and knowledge-based intelligence are areas of importance in today's economy and society, and their exploitation requires representation via the development of a declarative interface whose input language is based on logic. Chitta Baral demonstrates how to write programs that behave intelligently by giving them the ability to express knowledge and reason about it. He presents a language, AnsProlog, for both knowledge representation and reasoning, and declarative problem solving. Many of the results have never appeared before in book form but are organized here for those wishing to learn more about the subject, either in courses or through self-study.
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Editorial Reviews
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Review of the hardback: 'I wholeheartedly recommend this book to researchers and students in the fields of logic programming, declarative programming and knowledge representation.' Journal of Transport, Law and Policy
Review of the hardback: '... the appearance of an extensive book with such a deep theoretical content and with analyses, methods and examples useful for practical applications is admirable after the very short history of Answer Set Programming.' Zentralblatt MATH
Review of the hardback: '... the appearance of an extensive book with such a deep theoretical content and with analyses, methods and examples useful for practical applications is admirable after the very short history of Answer Set Programming.' Zentralblatt MATH
Book Description
Knowledge management and knowledge-based intelligence are areas of importance in today's economy and to exploit them fully and efficiently, it is necessary both to represent and reason about knowledge. Chitta Baral shows how to write programs that behave intelligently by giving them the ability to express knowledge and to reason. Many of the book's previously unpublished results have been organized to appeal to practicing and aspiring knowledge engineers.
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First Sentence:
Among other characteristics, an intelligent entity - whether an intelligent autonomous agent, or an intelligent assistant - must have the ability to go beyond just following direct instructions while in pursuit of a goal. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
negative fluent literal, smodels algorithm, consistent domain description, answer set framework, dlv algorithm, consistent answer set, unique answer set, multiple answer sets, universal query problem, other answer sets, answer set planning, smodels system, entailment with respect, input database schema, output database schema, three answer sets, weight sel, executability conditions, function lookahead, language tolerant, computing answer sets, only answer set, basic fluents, dlv system, query anc Key Phrases - Capitalized Phrases (CAPs): (learn more)
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Among other characteristics, an intelligent entity - whether an intelligent autonomous agent, or an intelligent assistant - must have the ability to go beyond just following direct instructions while in pursuit of a goal. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
negative fluent literal, smodels algorithm, consistent domain description, answer set framework, dlv algorithm, consistent answer set, unique answer set, multiple answer sets, universal query problem, other answer sets, answer set planning, smodels system, entailment with respect, input database schema, output database schema, three answer sets, weight sel, executability conditions, function lookahead, language tolerant, computing answer sets, only answer set, basic fluents, dlv system, query anc Key Phrases - Capitalized Phrases (CAPs): (learn more)
Using Lemma New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 16
books:
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14
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- Logic Programming (Lecture Notes in Artificial Intelligence) by A. Voronkov on 5 pages
- Foundations of Deductive Databases and Logic Programming by Jack Minker on 4 pages
- Knowledge Representation (Special Issues of Artificial Intelligence) by Ronald J. Brachman in Back Matter (1), and Back Matter (2)
- Programming in Prolog: Using the ISO Standard by William F. Clocksin in Back Matter
- Computational Logic: Logic Programming and Beyond: Essays in Honour of Robert A. Kowalski, Part II (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) (Pt. 2) by Antonis C. Kakas in Back Matter
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- Logic for Programming, Artificial Intelligence, and Reasoning: 11th International Workshop, LPAR 2004, Montevideo, Uruguay, March 14-18, 2005, ... / Lecture Notes in Artificial Intelligence) by Franz Baader on page 183
- Practical Aspects of Declarative Languages: 7th International Symposium, PADL 2005 by Manuel Hermenegildo on page 141
- Transactions on Rough Sets IV (Lecture Notes in Computer Science / Transactions on Rough Sets) (v. 4) by James F. Peters on page 274
- Knowledge Representation and Reasoning (The Morgan Kaufmann Series in Artificial Intelligence) by Ronald Brachman in Back Matter
- Declarative Agent Languages and Technologies III: Third International Workshop, DALT 2005, Utrecht, The Netherlands, July 25, 2005, Selected and ... Notes in Artificial Intelligence) (v. 3) by Matteo Baldoni on page 87
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