A Study of the Accuracy of Heuristic Functions
نویسنده
چکیده
From a practical point of view, most problems cannot be optimally solved applying brute-force single-agent search algorithms. Thus, a new class of single-agent search algorithms was devised to find the optimal solution faster and/or consuming less space, heuristic single-agent search algorithms. However, designing accurate heuristic functions is still a major challenge. In this paper, a mathematical model is introduced for characterizing the accuracy of any heuristic function. This is a step ahead in the analysis of heuristic functions since this method could be used to aid other procedures to improve the original heuristic estimations.
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تاریخ انتشار 2004