By H.A. Abbass (auth.), Markus Stumptner, Dan Corbett, Mike Brooks (eds.)

ISBN-10: 3540429603

ISBN-13: 9783540429609

ISBN-10: 3540456562

ISBN-13: 9783540456568

This publication constitutes the refereed complaints of the 14th Australian Joint convention on synthetic Intelligence, AI 2001, held in Adelaide, Australia, in December 2001.
The fifty five revised complete papers provided including one invited contribution have been conscientiously reviewed and chosen from a complete of a hundred submissions. The papers hide the complete diversity of man-made intelligence from theoretical and foundational concerns to complicated purposes in various fields.

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Additional resources for AI 2001: Advances in Artificial Intelligence: 14th Australian Joint Conference on Artificial Intelligence Adelaide, Australia, December 10–14, 2001 Proceedings

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First a relation is chosen, which is then divided into two sets: a consistent set CS and an inconsistent set IS. The set CS contains only relations that appear in both the original relation and in what remains in the dummy network’s relation. For example, if the original had the relation {<, m, mi, s} and the dummy relation {<, mi, f, fi, >} then the set CS would be {<, mi}. The set IS contains those relations not in CS, which in our example would be {f, fi, >}. After this, a single relation is chosen first from the set CS and instantiated in the dummy network.

We enhance this basic backtrack search through the identification and exploitation of structure in the problem instance. This structure is in the form of symmetries. In particular, we make use of a type of symmetry called interchangeability, which was introduced and categorized by Freuder in [7]. We limit our investigations to interchangeability among the values in the domain of one given variable. Interchangeability between two values for the variable exists if the values can be substituted for one another without affecting the assignments of the remaining variables.

Example 2. C o nside r t he de f e asible t he o ry c o nsist ing o f t he rule s µÔ Ô µ Õ Õ H e re Ô is de f e asibly pro v able , but ne it he r Õ no r Õ. T he re is o ne rule t o suppo rt e ac h c o nc lusio n, but t he re are no prio rit ie s t o re so lv e t he c o nflic t ( and st ric t rule s are no t de e me d t o be supe rio r t o de f e asible rule s) . H o w e v e r, in t he t ranslat io n int o de f ault lo gic t he re is o nly o ne e x t e nsio ØÖÙ Ô Ô ØÖÙ Õ Ô Õ Õ n, Ì ´ Ô Õ µ, so Õ is sc e pt ic ally pro v able .

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AI 2001: Advances in Artificial Intelligence: 14th Australian Joint Conference on Artificial Intelligence Adelaide, Australia, December 10–14, 2001 Proceedings by H.A. Abbass (auth.), Markus Stumptner, Dan Corbett, Mike Brooks (eds.)


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