Knowledge Representation, Reasoning, and the Design of Intelligent Agents: The Answer-Set Programming Approach - Hardcover

Gelfond, Michael; Kahl, Yulia

 
9781107029569: Knowledge Representation, Reasoning, and the Design of Intelligent Agents: The Answer-Set Programming Approach
Hardcover
ISBN 10: 1107029562 ISBN 13: 9781107029569
Verlag: Cambridge University Press, 2014

Inhaltsangabe

Knowledge representation and reasoning is the foundation of artificial intelligence, declarative programming, and the design of knowledge-intensive software systems capable of performing intelligent tasks. Using logical and probabilistic formalisms based on answer set programming (ASP) and action languages, this book shows how knowledge-intensive systems can be given knowledge about the world and how it can be used to solve non-trivial computational problems. The authors maintain a balance between mathematical analysis and practical design of intelligent agents. All the concepts, such as answering queries, planning, diagnostics, and probabilistic reasoning, are illustrated by programs of ASP. The text can be used for AI-related undergraduate and graduate classes and by researchers who would like to learn more about ASP and knowledge representation.

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Über die Autorinnen und Autoren

Dr Michael Gelfond is a Professor of Computer Science at Texas Tech University. He received his PhD from the Steklov Institute of Mathematics of the Academy of Sciences, St Petersburg, Russia. He is an AAA Fellow and serves as an Area Editor for the International Journal of Theory and Practice of Logic Programming and as an Executive Editor of the Journal of Logic and Computation. In 2004 and 2012 he was the recipient of the award for most influential paper in twenty years by the International Association of Logic Programming.

Yulia Kahl is a member of the Texas Action Group and the Knowledge Representation Lab at Texas Tech. She received her Master's in Computer Science, focusing on the use of ASP for planning. She has also worked as a programmer at IBM.

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Verlag
Cambridge University Press
Erscheinungsdatum
2014
Sprache
Englisch
ISBN 10 
1107029562
ISBN 13 
9781107029569
Einband
Tapa dura
Anzahl der Seiten
364
Kontakt zum Hersteller
Cambridge University Press
https://www.cambridge.org/

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