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Epistemic Logic for AI and Computer Science, Paperback / softback Book

Paperback / softback

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.

Information

  • Format:Paperback / softback
  • Pages:372 pages, Worked examples or Exercises
  • Publisher:Cambridge University Press
  • Publication Date:
  • Category:
  • ISBN:9780521602808

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Information

  • Format:Paperback / softback
  • Pages:372 pages, Worked examples or Exercises
  • Publisher:Cambridge University Press
  • Publication Date:
  • Category:
  • ISBN:9780521602808

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