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Polynomially Bounded Forgetting

机译:多项式有界遗忘

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摘要

Forgetting is one of the most important concepts in logic based problem solving, both from a theoretical and a practical point of view. However, the size of the forgetting result is exponential in worst case. To address this issue, we consider the problem of polynomially bounded forgetting, i.e., when the size of the forgetting result can be expressed polynomially. We coin the notion of polynomially bounded forgetting and distinguish several different levels. We then show that forgetting a set of variables under a polynomial bound can be reduced to forgetting a single one. However, checking variable polynomially bounded forgetting is ∑_2~P complete. Hence, we identify some sufficient conditions for this problem. Finally, we consider polynomially bounded forgetting in CNF formulas.
机译:从理论和实践的角度来看,忘记都是基于逻辑的问题解决中最重要的概念之一。但是,在最坏的情况下,遗忘结果的大小是指数的。为了解决这个问题,我们考虑多项式有界遗忘的问题,即何时可以将遗忘结果的大小表达为多项式。我们提出了多项式有界遗忘的概念,并区分了几个不同的层次。然后,我们表明,将多项式边界下的一组变量遗忘可以减少为仅遗忘一个变量。然而,检查变量的多项式有界遗忘是∑_2〜P完成的。因此,我们为该问题确定了一些充分条件。最后,我们考虑CNF公式中的多项式有界遗忘。

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