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

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

This booklet constitutes the refereed complaints 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 provided including four invited papers have been conscientiously reviewed and chosen for inclusion within the e-book. The papers are dedicated to all present facets within the region of symbolic computing and AI: mathematical foundations, implementations, and functions in and academia.

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

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A thorough account will shortly be available in [Bundy et al, 2005]. Why Is It Called Rippling? Raymond Aubin coined the term ‘rippling-out’, in his 1976 Edinburgh PhD thesis, to describe the pattern of movement of what we now call wave-fronts, during conventional rewriting with constructor-style recursive definitions. In [Bundy, 1988], we turned this on its head by taking such a movement of wave-fronts as the definition of rippling rather than the effect of rewriting. This enabled the idea to be considerably generalized.

Explanation-Based Learning of Proof Plans. In Kodratoff, Y. ), Machine and Human Learning. Kogan Page. Also available as DAI Research Paper 304. Previous version in proceedings of EWSL-86. 36 A. Bundy [Dixon & Fleuriot, 2003] Dixon, L. and Fleuriot, J. D. (2003). IsaPlanner: A prototype proof planner in Isabelle. In Proceedings of CADE’03, Lecture Notes in Computer Science. , Storkey, A. and Pollet, M. (2004). The use of data-mining for the automatic formation of tactics. In Workshop on Computer-Supported Mathematical Theory Development.

In Sridharan, N. ), Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, pages 359–365. Morgan Kaufmann. Also available from Edinburgh as DAI Research Paper 419. , Horn, C. and Smaill, A. (1990). The Oyster-Clam system. In Stickel, M. ), 10th International Conference on Automated Deduction, pages 647–648. Springer-Verlag. Lecture Notes in Artificial Intelligence No. 449. Also available from Edinburgh as DAI Research Paper 507. , Ireland, A. and Smaill, A. (1993).

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