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.
| ISBN: | 9783540655091 |
| Publication date: | 18th December 1998 |
| Author: | Peter Baumgartner |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 283 pages |
| Series: | Lecture Notes in Artificial Intelligence. |
| Genres: |
Automatic control engineering Mathematical logic Mathematical foundations Mathematical theory of computation Artificial intelligence |
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 in Connection Calculi features in the following genres: Automatic control engineering, Mathematical logic, Mathematical foundations, Mathematical theory of computation, Artificial intelligence
Paperback. Not Available.
Theory Reasoning in Connection Calculi was written by Peter Baumgartner and published by Springer an imprint of Springer Berlin Heidelberg
Theory Reasoning in Connection Calculi has 283 pages
Yes it is part of Lecture Notes in Artificial Intelligence. series