Sorts and Types in Artificial Intelligence

Workshop, Eringerfeld, FRG, April 24–26, 1989 Proceedings

  • Editors
  • Karl Hans Bläsius
  • Ulrich Hedtstück
  • Claus-Rainer Rollinger
Conference proceedings

Part of the Lecture Notes in Computer Science book series (LNCS, volume 418)

Table of contents

  1. Front Matter
  2. K. H. Bläsius, U. Hedtstück, C. -R. Rollinger
    Pages 1-6
  3. Arnold Oberschelp
    Pages 7-17
  4. P. H. Schmitt, W. Wernecke
    Pages 49-60
  5. U. Hedtstück, P. H. Schmitt
    Pages 61-72
  6. Bernhard Nebel, Gert Smolka
    Pages 111-139
  7. Udo Pletat, Kai von Luck
    Pages 140-164
  8. K. H. Bläsius, C. -R. Rollinger, J. -H. Siekmann
    Pages 165-182
  9. Werner Dilger, Hans Voß
    Pages 190-207
  10. Jürgen Allgayer, Carola Reddig-Siekmann
    Pages 240-285
  11. Back Matter

About these proceedings


The aim of this book is to reflect the substantial re- search done in Artificial Intelligence on sorts and types. The main contributions come from knowledge representation and theorem proving and important impulses come from the "application areas", i.e. natural language (understanding) systems, computational linguistics, and logic programming. The workshop brought together researchers from logic, theoretical computer science, theorem proving, knowledge representation, linguistics, logic programming and qualitative reasoning.


artificial intelligence computational linguistics intelligence knowledge knowledge representation linguistics logic programming proving theorem proving

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1990
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-52337-6
  • Online ISBN 978-3-540-46965-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
Industry Sectors
Materials & Steel
Chemical Manufacturing
Finance, Business & Banking
IT & Software
Consumer Packaged Goods
Energy, Utilities & Environment
Oil, Gas & Geosciences