To Resolve Policy Conflict by Weight Constraint Rule Programming

Xin Li, Fan Li
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Abstract

To overcome the limitation of the approach proposed by Chomicki et ah, this paper presents a new methodology for policy conflict resolution. The property of action constraint instance set is studied, and an optimal solution for conflict resolution, i.e., the largest action-acceptance set, is introduced, and the general property of the smallest action-cancellation set as the complement of the solution is showed. Finally, the logic program for conflict resolution is constructed by utilizing weight constraint rule programming with the stable model semantics. Because the logic program always has at least one stable model, it is reliable to obtain an optimal solution according to a stable model of this program. The methodology proposed by this paper not only has the merits of Chomicki's approach, but also expands the kinds of resolved conflicts.
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用权约束规则规划方法解决策略冲突
为了克服Chomicki等人提出的方法的局限性,本文提出了一种新的政策冲突解决方法。研究了行动约束实例集的性质,引入了冲突解决的最优解,即最大行动接受集,并给出了最小行动抵消集作为该解的补的一般性质。最后,利用具有稳定模型语义的权约束规则规划构造了冲突解决的逻辑程序。由于逻辑程序总是至少有一个稳定模型,因此根据该程序的稳定模型得到最优解是可靠的。本文提出的方法不仅具有乔米基方法的优点,而且扩展了解决冲突的种类。
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