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Relatively Quantified Constraint Satisfaction

机译:相对量化的约束满意度

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摘要

The constraint satisfaction problem (CSP) is a convenient framework for modelling search problems; the CSP involves deciding, given a set of constraints on variables, whether or not there is an assignment to the variables satisfying all of the constraints. This paper is concerned with the more general framework of quantified constraint satisfaction, in which variables can be quantified both universally and existentially. We study the relatively quantified constraint satisfaction problem (RQCSP), in which the values for each individual variable can be arbitrarily restricted. We give a complete complexity classification of the cases of the RQCSP where the types of constraints that may appear are specified by a constraint language.
机译:约束满足问题(CSP)是建模搜索问题的便捷框架; CSP涉及在给定一组变量约束的情况下,确定是否存在满足所有约束的变量分配。本文关注的是量化约束满足的更通用框架,在该框架中,变量既可以通用,也可以存在。我们研究了相对定量的约束满足问题(RQCSP),其中每个变量的值都可以任意限制。我们给出了RQCSP情况的完整复杂度分类,其中可能出现的约束类型由约束语言指定。

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