In computer science, "'beam search "'is a heuristic search algorithm that explores a graph by expanding the most promising node in a limited set.
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The acquisition provided real-time profiling, boolean search, statistical and heuristic search, natural language query, semantic network tools, knowledge bases, and a complete set of application development tools.
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Each successive iteration depends upon the step before it, thus the heuristic search learns what avenues to pursue and which ones to disregard by measuring how close the current iteration is to the solution.
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All three classes of incremental heuristic search algorithms are different from other replanning algorithms, such as planning by analogy, in that their plan quality does not deteriorate with the number of replanning episodes.
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Thematic areas include : algorithms and complexity; computational logic; formal methods; heuristic search; mathematics of computing; models of computation and unconventional computing; programming languages and semantics; and software engineering.
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Many telecommunications companies also make use of this technology in the management of their workforces, for example BT Group has deployed heuristic search in a scheduling application that provides the work schedules of 20000 engineers.
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Finding the optimal least-squares tree with any correction factor is NP-complete, so heuristic search methods like those used in maximum-parsimony analysis are applied to the search through tree space.
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UIC's Artificial Intelligence Laboratory, which he founded in 1991, has completed numerous projects in fields such as transportation, manufacturing, bioinformatics, e-mail spam countermeasures, and heuristic search algorithms.
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In their Turing Award acceptance speech, Allen Newell and Herbert A . Simon discuss the heuristic search hypothesis : a physical symbol system will repeatedly generate and modify known symbol structures until the created structure matches the solution structure.
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"' Incremental heuristic search "'algorithms combine both incremental and heuristic search to speed up searches of sequences of similar search problems, which is important in domains that are only incompletely known or change dynamically.
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