A Least-Certainty Heuristic for Selective Search
Conference paper
First Online:
Abstract
We present a new algorithm for selective search by iterative expansion of leaf nodes. The algorithm reasons with leaf evaluations in a way that leads to high confidence in the choice of move at the root. Performance of the algorithm is measured under a variety of conditions, as compared to minimax with α/ß pruning, and to best-first minimax.
Keywords
Selective search evaluation function error misordering assumption certainty confidence swing evaluation goal swing threshold LCF random trees artificial time Amazons OthelloPreview
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© Springer-Verlag Berlin Heidelberg 2001