Advances in Artificial Intelligence: 13th Biennial by Jonathan Schaeffer, Aske Plaat (auth.), Howard J. Hamilton

By Jonathan Schaeffer, Aske Plaat (auth.), Howard J. Hamilton (eds.)

This e-book constitutes the refereed lawsuits of the thirteenth Biennial convention of the Canadian Society for Computational stories of Intelligence, AI 2000, held in Montreal, Quebec, Canada, in may possibly 2000. The 25 revised complete papers offered including 12 10-page posters have been rigorously reviewed and chosen from greater than 70 submissions. The papers are equipped in topical sections on video games and constraint pride; ordinary language processing; wisdom illustration; AI functions; computer studying and information mining; making plans, theorem proving, and synthetic existence; and neural networks.

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The directional join guarantees that assignments to ∼ variables earlier on are not erased by joins performed later on. Since ti 1 tj is ∼ not necessarily equal to tj 1 ti , the order of selection of constraints can affect the performance of the algorithm. Definition 7. Consider a tuple ti as a par-consistent instantiation of variables in Vti . An extension of ti to variables in Vti ∪ Vtj is a tuple tij where ∼ tij is an instantiation to variables in Vti ∪ Vtj . t to the constraints in CEStij is less than Bnecc .

This is also called the projection of tuple Si on the variables in Vj . Let Ci , Cj be two constraints ∈ C. The join of Ci , Cj , denoted by Ci 1 Cj = Cij , is the set {t | t ∈ Sij ∧ (t[Vi ] ∈ Si ) ∧ (t[Vj ] ∈ Sj )}. The set of all solutions of a constraint satisfaction problem, is equal to the join of the relational instances corresponding to the constraints [2, 9]. This is the basis for the constraint directed backtracking (CDBT) algorithm. In this paper A Constraint Directed Model for Partial Constraint Satisfaction Problems 29 we extend the dual graph based constraint directed backtracking for partial constraint satisfaction in the same way as the branch and bound extension to backtracking (based on the primal graph) provided by Freuder and Wallace [7].

Levy, D. Broughton, and M. Taylor. The Sex Algorithm in Computer Chess. Journal of the International Computer Chess Association, 12(1):10– 21, 1989. [Mar86] T. Marsland. A Review of Game-Tree Pruning. Journal of the International Computer Chess Association, 9(1):3–19, 1986. au Abstract. e. problems may be over-constrained). In such cases, we want a partial solution that satisfies as many constraints as possible. Several backtracking and local search algorithms exist that are based on the assignment of values to variables in a fixed order, until a complete solution or a reasonably good partial solution is obtained.

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