论文标题
认知机器人中基于图的空间时间逻辑和自动推理
A graph-based spatial temporal logic for knowledge representation and automated reasoning in cognitive robots
论文作者
论文摘要
我们在本文中提出了一种新的基于图的空间时间逻辑,用于知识表示和自动推理。所提出的逻辑在诸如认知机器人等应用中的表现力和障碍之间达到了平衡。提出的逻辑的满意度是可以决定的。我们将希尔伯特风格的公理化应用于提出的基于图的空间时间逻辑,其中Modus Ponens和Irr是推理规则。我们表明,相应的扣除系统是合理而完整的,可以通过SAT实现。
We propose a new graph-based spatial temporal logic for knowledge representation and automated reasoning in this paper. The proposed logic achieves a balance between expressiveness and tractability in applications such as cognitive robots. The satisfiability of the proposed logic is decidable. We apply a Hilbert style axiomatization for the proposed graph-based spatial temporal logic, in which Modus ponens and IRR are the inference rules. We show that the corresponding deduction system is sound and complete and can be implemented through SAT.