In the 70's and 80's the success of knowledge-intensive approaches to problem solving eclipsed earlier work on compute-intensive weak methods. However, in recent years, compute-intensive methods have made a surprising comeback. One of the most prominent examples is the success
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and easy distributions of sat problems
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The hardest constraint problems: A double phase transition
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Generating hard satisfiability problems
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Using temporal logic to control search in a forward chaining planner
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An economics approach to hard computational problems
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63
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Partial-order planning: evaluating possible efficiency gains
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51
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