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Aggregates in Answer Set Optimization

机译:答案集优化中的汇总

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Answer set optimization (ASO) is a flexible framework for qualitative optimization in answer set programming (ASP). The ap proach uses a generating program to construct the space of problem solutions, and a preference program to assess the quality of solutions. In this short paper we generalize the approach by introducing aggregates in preference programs. This allows the user to express preferences which are based on minimization or maximization of some numerical criteria. We introduce the new language of preference programs, define its seman tics and give an example illustrating its use.
机译:答案集优化(ASO)是用于答案集编程(ASP)中定性优化的灵活框架。 ap方法使用生成程序来构建问题解决方案的空间,并使用偏好程序来评估解决方案的质量。在这篇简短的论文中,我们通过在偏好程序中引入汇总来概括该方法。这允许用户表达基于某些数字标准的最小化或最大化的偏好。我们介绍了偏好程序的新语言,定义了语义,并举例说明了其用法。

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