Logical Tools for Handling Change in Agent-Based Systems

  • Dov M. Gabbay
  • Karl Schlechta
Part of the Cognitive Technologies book series (COGTECH)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Dov M. Gabbay, Karl Schlechta
    Pages 1-30
  3. Dov M. Gabbay, Karl Schlechta
    Pages 31-51
  4. Dov M. Gabbay, Karl Schlechta
    Pages 53-71
  5. Dov M. Gabbay, Karl Schlechta
    Pages 73-117
  6. Dov M. Gabbay, Karl Schlechta
    Pages 119-155
  7. Dov M. Gabbay, Karl Schlechta
    Pages 157-173
  8. Dov M. Gabbay, Karl Schlechta
    Pages 175-217
  9. Dov M. Gabbay, Karl Schlechta
    Pages 219-250
  10. Dov M. Gabbay, Karl Schlechta
    Pages 251-293
  11. Back Matter
    Pages 1-11

About this book

Introduction

Agents act on the basis of their beliefs and these beliefs change as they interact with other agents. In this book the authors propose and explain general logical tools for handling change. These tools include preferential reasoning, theory revision, and reasoning in inheritance systems, and the authors use these tools to examine nonmonotonic logic, deontic logic, counterfactuals, modal logic, intuitionistic logic, and temporal logic.

This book will be of benefit to researchers engaged with artificial intelligence, and in particular agents, multiagent systems and nonmonotonic logic.

Keywords

Applied logic Autonomous agents Belief revision Cognitive science Computation Hierarchical condit Inheritance networks Knowledge representation Multiagent systems Nonmonotonic reasoning Preferential models agents artificial intelligence logic

Authors and affiliations

  • Dov M. Gabbay
    • 1
  • Karl Schlechta
    • 2
  1. 1.Dept. Computer ScienceKing's College LondonLondonUnited Kingdom
  2. 2.Labo. d'Informatique de MarseilleUniversité de ProvenceMarseille CX 13France

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-04407-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-04406-9
  • Online ISBN 978-3-642-04407-6
  • Series Print ISSN 1611-2482