(Paperback)
A broad introduction to the subject; many exercises with full solutions are provided.
More Reviews and RecommendationsEpistemic 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.
| Preface | ||
| Introduction | 1 | |
| 1 | Basics: The Modal Approach to Knowledge | 7 |
| 2 | Various Notions of Knowledge and Belief | 45 |
| 3 | Knowledge and Ignorance | 113 |
| 4 | Default Reasoning By Epistemic Logic | 159 |
| A1. Konolige's Deduction Model of Belief | 211 | |
| A2. Knowledge Structures (Fagin, Halpern & Vardi) | 218 | |
| A3. First-Order Epistemic Logic | 225 | |
| A4. Table of the Basic Logical Systems | 229 | |
| Answers to the Exercises | 233 | |
| References | 331 | |
| Index | 347 |
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