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- W2914339959 abstract "Conventional blind search techniques generally assume that the goal nodes for a given problem are distributed randomly along the fringe of the search tree. We argue that this is often invalid in practice and suggest that a more reasonable assumption is that decisions made at each point in the search carry equal weight. We go on to show that a new search technique called iterative broadening leads to orders-of-magnitude savings in the time needed to search a space satisfying this assumption; the basic idea is to search the space using artificial breadth cutoffs that are gradually increased until a goal is found. Both theoretical and experimental results are presented." @default.
- W2914339959 created "2019-02-21" @default.
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- W2914339959 date "1992-06-01" @default.
- W2914339959 modified "2023-10-01" @default.
- W2914339959 title "Iterative broadening" @default.
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- W2914339959 doi "https://doi.org/10.1016/0004-3702(92)90059-7" @default.
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