Generating random solutions for constraint satisfaction problems
Rina Dechter, Kalev Kask, et al.
AAAI/IAAI 2002
This paper presents a particular model of heuristic search as a path-finding problem in a directed graph. A class of graph-searching procedures is described which uses a heuristic function to guide search. Heuristic functions are estimates of the number of edges that remain to be traversed in reaching a goal node. A number of theoretical results for this model, and the intuition for these results, are presented. They relate the efficiency of search to the accuracy of the heuristic function. The results also explore efficiency as a consequence of the reliance or weight placed on the heuristics used. © 1970.
Rina Dechter, Kalev Kask, et al.
AAAI/IAAI 2002
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CLEO 2023
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AAMAS 2009
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SCML 2024