Planning over Integers: Compilations and Undecidability

Daniel Gnad, M. Helmert, P. Jonsson, Alexander Shleyfman
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引用次数: 2

Abstract

Restricted Tasks (RT) are a special case of numeric planning characterized by numeric conditions that involve one numeric variable per formula and numeric effects that allow only the addition of constants. Despite this, RTs form an expressive class whose planning problem is undecidable. The restricted nature of RTs often makes problem modeling awkward and unnecessarily complicated. We show that this can be alleviated by compiling mathematical operations that are not natively supported into RTs using macro-like action sequences. With that, we can encode many features found in general numeric planning such as constant multiplication, addition of linear formulas, and integer division and residue. We demonstrate how our compilations can be used to capture challenging mathematical problems such as the (in)famous Collatz conjecture. Our approach additionally gives a simple undecidability proof for RTs, and the proof shows that the number of variables needed to construct an undecidable class of RTs is surprisingly low: two numeric and one propositional variable.
整数规划:编译和不可判定性
受限任务(Restricted Tasks, RT)是数字规划的一种特殊情况,其特征是每个公式包含一个数字变量的数字条件和只允许添加常量的数字效果。尽管如此,RTs形成了一个表达性的类,其规划问题是不可确定的。RTs的有限性通常会使问题建模变得笨拙和不必要的复杂。我们表明,这可以通过使用类似宏的动作序列编译RTs中不支持的数学操作来缓解。有了它,我们可以编码在一般数值规划中发现的许多特征,如常数乘法,线性公式的加法,整数除法和剩余。我们将演示如何使用我们的编译来捕获具有挑战性的数学问题,例如(in)著名的Collatz猜想。我们的方法还为RTs提供了一个简单的不可判定性证明,并且证明了构建不可判定类RTs所需的变量数量惊人地低:两个数值变量和一个命题变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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