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Theory Reasoning in Connection Calculi [electronic resource] /

By: Baumgartner, Peter [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 1527Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1998.Description: X, 290 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540492108.Subject(s): Engineering | Computers | Mathematical logic | Artificial intelligence | Robotics | Automation | Engineering | Robotics and Automation | Theory of Computation | Artificial Intelligence (incl. Robotics) | Mathematical Logic and Formal Languages | Mathematical Logic and FoundationsOnline resources: Click here to access online
Contents:
1. Introduction -- 2. Logical Background -- 3. Tableau Model Elimination -- 4. Theory Reasoning in Connection Calculi -- 5. Linearizing Completion -- 6. Implementation -- 7. Conclusions -- A. Appendix: Proofs -- What is Where?.
In: Springer eBooksSummary: 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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1. Introduction -- 2. Logical Background -- 3. Tableau Model Elimination -- 4. Theory Reasoning in Connection Calculi -- 5. Linearizing Completion -- 6. Implementation -- 7. Conclusions -- A. Appendix: Proofs -- What is Where?.

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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