Complexity Classification Transfer for CSPs via Algebraic Products

ArXiv Pub Date : 2022-11-07 DOI:10.48550/arXiv.2211.03340
M. Bodirsky, P. Jonsson, B. Martin, A. Mottet, Zaneta Semanisinová
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引用次数: 1

Abstract

We study the complexity of infinite-domain constraint satisfaction problems: our basic setting is that a complexity classification for the CSPs of first-order expansions of a structure A can be transferred to a classification of the CSPs of first-order expansions of another structure B. We exploit a product of structures (the algebraic product) that corresponds to the product of the respective polymorphism clones and present a complete complexity classification of the CSP for first-order expansions of the n-fold algebraic power of (Q;<). This is proved by various algebraic and logical methods in combination with knowledge of the polymorphisms of the tractable first-order expansions of (Q;<) and explicit descriptions of the expressible relations in terms of syntactically restricted first-order formulas. By combining our classification result with general classification transfer techniques, we obtain surprisingly strong new classification results for highly relevant formalisms such as Allen’s Interval Algebra, the n-dimensional Block Algebra, and the Cardinal Direction Calculus, even if higher-arity relations are allowed. Our results confirm the infinite-domain tractability conjecture for classes of structures that have been difficult to analyse with older methods. For the special case of structures with binary signatures, the results can be substantially strengthened and tightly connected to Ord-Horn formulas; this solves several longstanding open problems from the AI literature. Manuel Bodirsky has received funding from the ERC under the European Community’s Seventh Framework Programme (Grant Agreement no. 681988, CSP-Infinity). Peter Jonsson is partially supported by the Swedish Research Council (VR) under grants 2017-04112 and 202104371.
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基于代数积的csp复杂度分类转移
我们研究了无限域约束满足问题的复杂性:我们的基本设置是,结构a的一阶展开的CSP的复杂性分类可以转移到另一个结构b的一阶展开的CSP的复杂性分类。我们利用对应于各自多态性克隆的乘积的结构积(代数积),并给出了(Q;<)的n次代数幂的一阶展开的CSP的完全复杂性分类。这是通过各种代数和逻辑方法,结合(Q;<)的可处理的一阶展开的多态知识和用语法限制的一阶公式明确描述可表达关系来证明的。通过将我们的分类结果与一般的分类转移技术相结合,我们获得了令人惊讶的强大的新分类结果,适用于高度相关的形式化,如Allen的区间代数、n维块代数和基数方向微积分,即使允许更高的关系。我们的结果证实了用旧方法难以分析的结构类的无限域可追溯性猜想。对于具有二元特征的结构的特殊情况,所得结果可以得到强化,并与Ord-Horn公式紧密相连;这解决了人工智能文献中几个长期存在的开放性问题。Manuel Bodirsky获得了ERC在欧洲共同体第七框架计划下的资助(资助协议号:681988年,CSP-Infinity)。Peter Jonsson得到了瑞典研究委员会(VR) 2017-04112和202104371的部分资助。
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