On quantified weighted MAX-SAT

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In this paper, we introduce quantified weighted MAX-SAT (Q-W-MAX-SAT) as the problem of assigning values to existentially quantified variables permitted by order of quantification, so that the sum of the weights of satisfied clauses equals or exceeds a given threshold, for all combinations of all values of universally quantified variables. Q-W-MAX-SAT serves as a prototypical conditional decision-making problem in which satisfying all constraints is either impossible or unnecessary or satisfying some constraints is more important than satisfying some other constraints. We report on two branching heuristics and four simplification rules to solve Q-W-MAX-SAT efficiently, along with an empirical evaluation.

论文关键词:DSS foundations,Conditional decision making,Approximate decision making,First-order logic,Combinatorial problems,Agent preferences

论文评审过程:Received 1 February 2002, Accepted 1 December 2003, Available online 26 April 2004.

论文官网地址:https://doi.org/10.1016/j.dss.2003.12.004