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Theory Reasoning in Connection Calculi

  • Book
  • © 1998

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1527)

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

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About this book

The ability to draw inferences is a central operation in any artificial intelligence system. Automated reasoning is therefore among the traditional disciplines in AI. Theory reasoning is about techniques for combining automated reasoning systems with specialized and efficient modules for handling domain knowledge called background reasoners.
Connection methods have proved to be a good choice for implementing high-speed automated reasoning systems. They are the starting point in this monograph,in which several theory reasoning versions are defined and related to each other. A major contribution of the book is a new technique of linear completion allowing for the automatic construction of background reasoners from a wide range of axiomatically given theories. The emphasis is on theoretical investigations, but implementation techniques based on Prolog are also covered.

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Table of contents (9 chapters)

Authors and Affiliations

  • NICTA Canberra, Canberra ACT, Australia

    Peter Baumgartner

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