Download Principles and Practice of Constraint Programming - CP 2005: by Héctor Geffner (auth.), Peter van Beek (eds.) PDF

By Héctor Geffner (auth.), Peter van Beek (eds.)

This e-book constitutes the refereed complaints of the eleventh overseas convention on rules and perform of Constraint Programming, CP 2005, held in Sitges, Spain, in October 2005.

The forty eight revised complete papers and 22 revised brief papers provided including prolonged abstracts of four invited talks and forty abstracts of contributions to the doctoral scholars software in addition to 7 abstracts of contributions to a platforms demonstration consultation have been conscientiously reviewed and chosen from 164 submissions. All present problems with computing with constraints are addressed, starting from methodological and foundational elements to fixing real-world difficulties in numerous software fields.

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Principles and Practice of Constraint Programming - CP 2005: 11th International Conference, CP 2005, Sitges, Spain, October 1-5, 2005. Proceedings

This publication constitutes the refereed lawsuits of the eleventh foreign convention on rules and perform of Constraint Programming, CP 2005, held in Sitges, Spain, in October 2005. The forty eight revised complete papers and 22 revised brief papers provided including prolonged abstracts of four invited talks and forty abstracts of contributions to the doctoral scholars software in addition to 7 abstracts of contributions to a platforms demonstration consultation have been conscientiously reviewed and chosen from 164 submissions.

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Additional resources for Principles and Practice of Constraint Programming - CP 2005: 11th International Conference, CP 2005, Sitges, Spain, October 1-5, 2005. Proceedings

Sample text

In fact, we can use incomparability to resolve conflict and thereby not contradict agents. Nevertheless, under the conditions identified, we still do not escape the reach of Arrow’s theorem. Even if we are only interested in the most preferred outcomes of the aggregated preferences, it is still impossible to be fair. Of course fairness is just one of the desirable properties for preference aggregations. Other interesting properties are related to the non-manipulability of a preference aggregation system: if an agent can vote tactically and reach its goal, then the system is manipulable.

A. Brown, L. Finkelstein, and P. W. Purdom. Backtrack Searching in the Presence of Symmetry. In T. Mora, editor, Applied Algebra, Algebraic Algorithms and Error-Correcting Codes, LNCS 357, pages 99–110. Springer-Verlag, 1988. 6. J. Crawford, M. Ginsberg, E. Luks, and A. Roy. Symmetry-Breaking Predicates for Search Problems. In Proceedings KR’96, pages 149–159, Nov. 1996. 7. T. Fahle, S. Schamberger, and M. Sellmann. Symmetry Breaking. In T. Walsh, editor, Principles and Practice of Constraint Programming - CP 2001, LNCS 2239, pages 225–239.

Many approaches to deal with uncertainty are based on possibility theory. The handling of the coexistence of preferences and uncertainty via possibility theory allows for a natural merging of the two notions and leads to several promising semantics for ordering the solutions according to both their preference and their robusteness to uncertainty [6]. Preference Aggregation: Fairness and Non-manipulability. In many situations, we need to represent and reason about the simultaneous preferences of several agents.

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