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Table of contents

  1. Front Matter
  2. Gerhard Lakemeyer, Bernhard Nebel
    Pages 1-12
  3. Jürgen Allgayer, Enrico Franconi
    Pages 13-29
  4. Franz Baader, Bernhard Hollunder
    Pages 30-52
  5. Luca Console, Daniele Theseider Dupré
    Pages 98-112
  6. Francesco M. Donini, Maurizio Lenzerini, Daniele Nardi, Werner Nutt, Andrea Schaerf
    Pages 113-132
  7. Russell Greiner, Dale Schuurmans
    Pages 145-159
  8. A. C. Kakas
    Pages 160-178
  9. Henry Kautz, Bart Selman
    Pages 200-215
  10. Yuen Q. Lin
    Pages 216-228
  11. Karen L. Myers, Kurt Konolige
    Pages 229-249
  12. Yoav Shoham, Steve B. Cousins
    Pages 296-309
  13. Emil Weydert
    Pages 310-332
  14. Cees Witteveen, Catholijn Jonker
    Pages 333-355
  15. Back Matter

About this book

Introduction

This collection of thoroughly refereed papers presents state-of-the-art research results by well-known researchers on the foundations of knowledge representation and reasoning. In addition, there are two surveys, one by the volume editors intended as a guide to this book and another by Shoham and Cousins on mental attitudes.
In total, the volume provides a well-organized report on current research in knowledge representation, which is one of the central subfields of AI. Except the surveys, the papers grew out of a workshop on Theoretical Foundations of Knowledge Representation and Reasoning, held in conjunction with the 10th European Conference on Artificial Intelligence (ECAI-92) in Vienna in August 1992.

Keywords

Conceptual Learning European Conference on Artificial Intelligence Extension Knowledge Acquisition Nonclassical Logics Reasoning Resaasoning Schließen Wissenakquisition complexity intelligence knowledge knowledge representation learning nonmonotonic reasoning

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-58107-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 1994
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-58107-9
  • Online ISBN 978-3-540-48453-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site