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Epistemic Logic for AI and Computer Science
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Details

  • 140 exercises
  • Page extent: 372 pages
  • Size: 247 x 174 mm
  • Weight: 0.66 kg
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Paperback

 (ISBN-13: 9780521602808 | ISBN-10: 0521602807)

  • There was also a Hardback of this title but it is no longer available | Adobe eBook
  • Published March 2004

Manufactured on demand: supplied direct from the printer

$89.99 (C)

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.

Contents

Preface; 1. Introduction; 2. Basics: the modal approach to knowledge; 3. Various notions of knowledge and belief; 4. Knowledge and ignorance; 5. Default reasoning by epistemic logic; References; Appendices; Answers to exercises; Index.

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