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Epistemic Logic for AI and Computer Science Revised Edition
Contributor(s): Ch Meyer, J. -J (Author), Der Hoek, W. Van (Author), Meyer, John-Jules Ch (Author)
ISBN: 0521602807     ISBN-13: 9780521602808
Publisher: Cambridge University Press
OUR PRICE:   $71.24  
Product Type: Paperback
Published: March 2004
Qty:
Annotation: Epistemic logic has grown from its philosophical beginnings to find diverse applications in computer science as a means of reasoning about the knowledge and belief of agents. This book, based on courses taught at universities and summer schools, provides a broad introduction to the subject; many exercises are included together with their solutions. The authors begin by presenting the necessary apparatus from mathematics and logic, including Kripke semantics and the well-known modal logics K, T, S4 and S5. Then they turn to applications in the contexts of distributed systems and artificial intelligence: topics that are addressed include the notions of common knowledge, distributed knowledge, explicit and implicit belief, the interplays between knowledge and time, and knowledge and action, as well as a graded (or numerical) variant of the epistemic operators. The problem of logical omniscience is also discussed extensively. Halpern and Moses??? theory of honest formulae is covered, and a digression is made into the realm of non-monotonic reasoning and preferential entailment. Moore??'s autoepistemic logic is discussed, together with Levesque's related logic of ???all I know???. Furthermore, it is shown how one can base default and counterfactual reasoning on epistemic logic.
Additional Information
BISAC Categories:
- Computers | Programming Languages - General
- Computers | Expert Systems
- Computers | Software Development & Engineering - General
Dewey: 006.3
Series: Cambridge Tracts in Theoretical Computer Science (Paperback)
Physical Information: 0.85" H x 7.44" W x 9.66" (1.46 lbs) 372 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
Epistemic logic has grown from its philosophical beginnings to find diverse applications in computer science as a means of reasoning about the knowledge and belief of agents. This book, based on courses taught at universities and summer schools, provides a broad introduction to the subject; many exercises are included together with their solutions. The authors begin by presenting the necessary apparatus from mathematics and logic, including Kripke semantics and the well-known modal logics K, T, S4 and S5. Then they turn to applications in the contexts of distributed systems and artificial intelligence: topics that are addressed include the notions of common knowledge, distributed knowledge, explicit and implicit belief, the interplays between knowledge and time, and knowledge and action, as well as a graded (or numerical) variant of the epistemic operators. The problem of logical omniscience is also discussed extensively. Halpern and Moses' theory of honest formulae is covered, and a digression is made into the realm of non-monotonic reasoning and preferential entailment. Moore's autoepistemic logic is discussed, together with Levesque's related logic of 'all I know'. Furthermore, it is shown how one can base default and counterfactual reasoning on epistemic logic.