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

Author:   Michael Gelfond (Texas Tech University) ,  Yulia Kahl
Publisher:   Cambridge University Press
ISBN:  

9781107029569


Pages:   360
Publication Date:   10 March 2014
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Knowledge Representation, Reasoning, and the Design of Intelligent Agents: The Answer-Set Programming Approach


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Author:   Michael Gelfond (Texas Tech University) ,  Yulia Kahl
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Dimensions:   Width: 15.70cm , Height: 2.30cm , Length: 23.50cm
Weight:   0.610kg
ISBN:  

9781107029569


ISBN 10:   1107029562
Pages:   360
Publication Date:   10 March 2014
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Logic-based approach to agent design; 2. Answer set Prolog (ASP); 3. Roots of ASP; 4. Creating a knowledge base; 5. Representing defaults; 6. The answer set programming paradigm; 7. Algorithms for computing answer sets; 8. Modeling dynamic domains; 9. Planning agents; 10. Diagnostic agents; 11. Probabilistic reasoning; 12. The Prolog programming language.

Reviews

'An excellent text for both students and experts in answer-set programming and knowledge representation.' Chitta Baral, Arizona State University 'Michael Gelfond is one of the creators of answer-set programming, a new programming methodology based on artificial intelligence that has already found several important applications. I am extremely impressed by the clarity of thought and examples provided. The authors are to be congratulated on this excellent addition to the literature.' Vladimir Lifschitz, University of Texas, Austin


Author Information

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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