Skip to main content
  • Book
  • © 1994

Foundations of Knowledge Representation and Reasoning

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 810)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Buy it now

Buying options

Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

This is a preview of subscription content, log in via an institution to check for access.

Table of contents (19 chapters)

  1. Front Matter

  2. Foundations of knowledge representation and reasoning

    • Gerhard Lakemeyer, Bernhard Nebel
    Pages 1-12
  3. Collective entities and relations in concept languages

    • Jürgen Allgayer, Enrico Franconi
    Pages 13-29
  4. Computing extensions of terminological default theories

    • Franz Baader, Bernhard Hollunder
    Pages 30-52
  5. Abductive reasoning with abstraction axioms

    • Luca Console, Daniele Theseider Dupré
    Pages 98-112
  6. Queries, rules and definitions as epistemic sentences in concept languages

    • Francesco M. Donini, Maurizio Lenzerini, Daniele Nardi, Werner Nutt, Andrea Schaerf
    Pages 113-132
  7. Learning an optimally accurate representation system

    • Russell Greiner, Dale Schuurmans
    Pages 145-159
  8. Default reasoning via negation as failure

    • A. C. Kakas
    Pages 160-178
  9. Forming concepts for fast inference

    • Henry Kautz, Bart Selman
    Pages 200-215
  10. A common-sense theory of time

    • Yuen Q. Lin
    Pages 216-228
  11. Reasoning with analogical representations

    • Karen L. Myers, Kurt Konolige
    Pages 229-249
  12. Logics of mental attitudes in AI

    • Yoav Shoham, Steve B. Cousins
    Pages 296-309
  13. Hyperrational conditionals

    • Emil Weydert
    Pages 310-332
  14. Revision by expansion in logic programs

    • Cees Witteveen, Catholijn Jonker
    Pages 333-355

About this book

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.

Bibliographic Information

  • Book Title: Foundations of Knowledge Representation and Reasoning

  • Editors: Gerhard Lakemeyer, Bernhard Nebel

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-58107-3

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1994

  • Softcover ISBN: 978-3-540-58107-9Published: 28 June 1994

  • eBook ISBN: 978-3-540-48453-0Published: 02 July 2005

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: IX, 363

  • Topics: Artificial Intelligence, Mathematical Logic and Formal Languages

Buy it now

Buying options

Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access