Artificial Intelligence and Symbolic Computation: 7th by Buchberger B., Campbell J. A. (Ed)

By Buchberger B., Campbell J. A. (Ed)

This booklet constitutes the refereed lawsuits of the seventh overseas convention on synthetic Intelligence and Symbolic Computation, AISC 2004, held in Linz, Austria in September 2004.The 17 revised complete papers and four revised brief papers offered including four invited papers have been rigorously reviewed and chosen for inclusion within the booklet. The papers are dedicated to all present features within the sector of symbolic computing and AI: mathematical foundations, implementations, and functions in and academia.

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Additional info for Artificial Intelligence and Symbolic Computation: 7th International Conference, AISC 2004, Linz, Austria, September 22-24, 2004, Proceedings

Sample text

The Use of Planning Critics in Mechanizing Inductive Proofs. ), International Conference on Logic Programming and Automated Reasoning – LPAR 92, St. Petersburg, Lecture Notes in Artificial Intelligence No. 624, pages 178–189. Springer-Verlag. Also available from Edinburgh as DAI Research Paper 592. [Jackson & Lowe, 2000] Jackson, M. and Lowe, H. (June 2000). XBarnacle: Making theorem provers more accessible. ), CADE17, number 1831 in Lecture Notes in Computer Science, Pittsburg. Springer. , Basin, D.

Van-Bengedem, editors, Frontiers in Paraconsistent Logic, pages 11–27. Research Studies Press, 2000. A Paraconsistent Higher Order Logic 51 7. H.

This might find a new kind of proof by accident. Another might be to have meta-methods which constructed new methods. For instance, a method for one domain might be applied to another by generalizing its preconditions1. 2). Proof plans might, for instance, be learnt from proofs constructed by general search. For more discussion of these points see [Bundy, 2002]. Isn’t Totally Automated Theorem Proving Infeasible? For the foreseeable future theorem provers will require human interaction to guide the search for non-trivial proofs.

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