A Dynamic Epistemic Framework for Conformant Planning

Quan Yu, Yanjun Li, Yanjing Wang
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引用次数: 14

Abstract

In this paper, we introduce a lightweight dynamic epistemic logical framework for automated planning under initial uncertainty. We reduce plan verification and conformant planning to model checking problems of our logic. We show that the model checking problem of the iteration-free fragment is PSPACE-complete. By using two non-standard (but equivalent) semantics, we give novel model checking algorithms to the full language and the iteration-free language.
一致性规划的动态认知框架
本文引入了一个轻量级的动态认知逻辑框架,用于初始不确定性下的自动化规划。我们减少计划验证和一致性计划来模拟我们逻辑的检查问题。我们证明了无迭代片段的模型检验问题是pspace完备的。通过使用两种非标准(但等价)的语义,给出了完整语言和无迭代语言的新型模型检查算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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