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随机布尔表达式可满足性中的临界行为。

Critical behavior in the satisfiability of random boolean expressions.

出版信息

Science. 1994 May 27;264(5163):1297-301. doi: 10.1126/science.264.5163.1297.

Abstract

Determining the satisfiability of randomly generated Boolean expressions with k variables per clause is a popular test for the performance of search algorithms in artificial intelligence and computer science. It is known that for k = 2, formulas are almost always satisfiable when the ratio of clauses to variables is less than 1; for ratios larger than 1, the formulas are almost never satisfiable. Similar sharp threshold behavior is observed for higher values of k. Finite-size scaling, a method from statistical physics, can be used to characterize size-dependent effects near the threshold. A relationship can be drawn between thresholds and computational complexity.

摘要

确定每个子句有 k 个变量的随机生成布尔表达式的可满足性是人工智能和计算机科学中搜索算法性能的常用测试方法。已知当子句与变量的比例小于 1 时,对于 k = 2,公式几乎总是可满足的;当比例大于 1 时,公式几乎总是不可满足的。对于更高的值 k,也观察到类似的尖锐阈值行为。来自统计物理学的有限大小标度可以用于刻画接近阈值的大小相关效应。可以在阈值和计算复杂性之间建立关系。

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