Information Flow: The Logic of Distributed Systems
by Jon Barwise , Jerry SeligmanEdition: 1st
Format: Paperback
Pub. Date: 2008-08-28
Publisher(s): Cambridge University Press
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Summary
Information is a central topic in computer science, cognitive science, and philosophy. In spite of its importance in the "information age," there is no consensus on what information is, what makes it possible, and what it means for one medium to carry information about another. Drawing on ideas from mathematics, computer science, and philosophy, this book addresses the definition and place of information in society. The authors, observing that information flow is possible only within a connected distribution system, provide a mathematically rigorous, philosophically sound foundation for a science of information. They illustrate their theory by applying it to a wide range of phenomena, from file transfer to DNA, from quantum mechanics to speech act theory.
Table of Contents
| Preface | |
| Introduction | |
| Information flow: a review | |
| Information channels: an overview | |
| A simple distributed system | |
| Channel Theory | |
| Classifications and infomorphisms | |
| Operations on classifications | |
| Distributed systems | |
| Boolean operations and classifications | |
| State spaces | |
| Regular theories | |
| Operations on theories | |
| Boolean operations and theories | |
| Local logics | |
| Reasoning at a distance | |
| Representing local logics | |
| Distributed logics | |
| Logics and state spaces | |
| Explorations | |
| Speech acts | |
| Vagueness | |
| Common sense reasoning | |
| Representation | |
| Quantum logic | |
| Answers to selected exercises | |
| Bibliography | |
| Glossary of notation | |
| Index of definitions | |
| Index of names | |
| Table of Contents provided by Publisher. All Rights Reserved. |
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