By Jonathan Schaeffer, Aske Plaat (auth.), Howard J. Hamilton (eds.)
This publication constitutes the refereed lawsuits of the thirteenth Biennial convention of the Canadian Society for Computational reports of Intelligence, AI 2000, held in Montreal, Quebec, Canada, in could 2000. The 25 revised complete papers awarded including 12 10-page posters have been rigorously reviewed and chosen from greater than 70 submissions. The papers are prepared in topical sections on video games and constraint pride; typical language processing; wisdom illustration; AI purposes; desktop studying and information mining; making plans, theorem proving, and synthetic existence; and neural networks.
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The name “Sex Search” stands for “search extensions”. Sex Search proposes to assign a weight, or cost, to every move in the search tree. Rather than exploring lines until a certain fixed depth is reached, the Sex algorithm explores lines until their moves add up to a fixed cost. This cost limit may be called the budget. The idea is that “interesting” moves have low cost, while “uninteresting” moves have high cost. This way, branches with many uninteresting moves are not explored very deeply, which corresponds to search reductions.
The algorithm terminates when all the variables have been covered. At each 1 In any case, one can always add dummy unary constraints on single variables (which allow all possible values in the domain of the variable). 30 Sivakumar Nagarajan, Scott Goodwin, and Abdul Sattar Input: CSP P ≡ V, D, C Output: CurrentSol with (|VCurrentSol|=|V |) procedure CDBT(CurrentSol, Cons, T uples) begin 1. if Cons = ∅ then // All Constraints covered 2. return ‘‘finished’’ 3. else if T uples = ∅ then // No values in current constraint left 4.
1. Revised CDBT algorithm step of the algorithm CDBT removes constraints that are verified against from Cons. Cons therefore represents the set of constraints that have not yet been satisfied by the current instantiation. When Cons=∅, a solution that satisfies all the constraints has been found. , there are no values in the domain of the current constraint to select from, or when the current instantiation is inconsistent. As with BT, CDBT works through a search tree, although the notions associated with the search tree in CDBT are different than those associated with the BT search tree.