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Sorts and Types in Artificial Intelligence [electronic resource] : Workshop, Eringerfeld, FRG, April 24–26, 1989 Proceedings / edited by Karl Hans Bläsius, Ulrich Hedtstück, Claus-Rainer Rollinger.

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence ; 418Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1990Description: VIII, 307 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540469650
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TJ210.2-211.495
Online resources:
Contents:
Contents: Introduction -- Sorts and Types in Logic, Theorem Proving and Logic Programming -- Sorts and Types in Knowledge Representation Including Qualitative Reasoning -- Sorts and Types in Natural Language (Understanding) Systems -- List of Contributors.
In: Springer eBooksSummary: 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.
Item type: E-BOOKS
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IMSc Library Link to resource Available EBK5944

Contents: Introduction -- Sorts and Types in Logic, Theorem Proving and Logic Programming -- Sorts and Types in Knowledge Representation Including Qualitative Reasoning -- Sorts and Types in Natural Language (Understanding) Systems -- List of Contributors.

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.

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