Incremental Dynamic Controllability Revisited.
ICAPS'13: Proceedings of the Twenty-Third International Conference on International Conference on Automated Planning and Scheduling(2013)
摘要
Simple Temporal Networks with Uncertainty (STNUs) allow the representation of temporal problems where some durations are determined by nature, as is often the case for actions in planning. As such networks are generated it is essential to verify that they are dynamically controllable - executable regardless of the outcomes of uncontrollable durations - and to convert them to a dispatchable form. The previously published FastIDC algorithm achieves this incrementally and can therefore be used efficiently during plan construction. In this paper we show that FastIDC is not sound when new constraints are added, sometimes labeling networks as dynamically controllable when they are not. We analyze the algorithm, pinpoint the cause, and show how the algorithm can be modified to correctly detect uncontrollable networks.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络