By Jérôme Euzenat, John Domingue
This ebook constitutes the refereed complaints of the twelfth foreign convention on man made Intelligence: technique, platforms, and purposes, AIMSA 2006, held in Varna, Bulgaria in September 2006.
The 28 revised complete papers offered including the abstracts of two invited lectures have been conscientiously reviewed and chosen from eighty one submissions. The papers are equipped in topical sections on brokers, constraints and optimization, person issues, choice help, types and ontologies, laptop studying, ontology manipulation, normal language processing, and applications.
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Additional info for Artificial Intelligence: Methodology, Systems, and Applications: 12th International Conference, AIMSA 2006, Varna, Bulgaria, September 12-15, 2006, Proceedings
A classiﬁcation scheme for negotiation in electronic commerce. Intl. Journal of Group Decision and Negotiation, 12(1):31–56, 2003. 21. J. van Veenen and H. Prakken. A protocol for arguing about rejections in negotiation. In Proc. 2nd Intl Workshop on Argumentation in Multi-Agent Systems (ArgMas-05), Utrecht, 2005. 22. P. McBurney, D. Hitchcock, and S. Parsons. The eight-fold way of deliberation dialogue. Intelligent Systems, 2005. In press. 23. H. Prakken and G. Vreeswijk. Logics for defeasible argumentation.
The total number of conjunctions treated in line 4 of algorithm 2 can not exceed mda since each considered conjunction f in line 3 is suppressed in line 4 (f is interpreted to false). As there is a literals by conjunction f , the total propagation is done in O(mada ). Thus, the complexity of the arc consistency procedure is O(mada + mad). But the factor (mad) is necessarily smaller than mada and the total complexity is reduced to O(mada ). t the size of C. A Boolean Encoding Including SAT and n-ary CSPs 39 Algorithm 1.
An instantiation I of a CSP P is consistent (or called a solution of P ) if it satisfies all the constraints of P . A CSP P is consistent if it admits at least one solution. Otherwise P is not consistent. Both propositional satisfiability (SAT) and constraint satisfaction problems (CSPs) are two closely related NP-complete problems. For the sequel we denote by n the number of variables of the CSP, by m its number of constraints, by a its maximal constraint arity and by d the size of its largest domain.