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Probabilities of Boolean Functions given by Random Implicational Formulas

机译:随机蕴涵公式给出的布尔函数的概率

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摘要

We study the asymptotic relation between the probability and the complexity of Boolean functions?in the implicational fragment which are generated by large random Boolean expressions involving?variables and implication, as the number of variables tends to infinity. In contrast to models?studied in the literature so far, we consider two expressions to be equal if they differ only in?the order of the premises. A precise asymptotic formula is derived for functions of low?complexity. Furthermore, we show that this model does not exhibit the Shannon effect.
机译:我们研究了隐含片段中布尔函数的概率与复杂度之间的渐近关系,隐含片段是由涉及变量和蕴涵的大型随机布尔表达式生成的,因为变量的数量趋于无穷大。与迄今为止在文献中研究的模型相反,如果两个表达式仅在前提的顺序上有所不同,我们认为它们是相等的。对于低复杂度的函数,导出了一个精确的渐近公式。此外,我们表明该模型不表现出香农效应。

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