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Stochastic self-monitoring Of autonomous systems

机译:自治系统的随机自我监控

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摘要

A probabilistic method is presented for high level task planning of au- tonomous, mobile systems under partial observability of states and partial knowl- edge of transition laws. Partial state observability is addressed by directed Markov fields which support the detection of relationships between pairs of observed vari- ables in competition to other such pairs.
机译:提出了一种概率方法,用于在状态的部分可观察性和过渡律的部分知识下对自主移动系统的高级任务计划。有向马尔可夫场解决了部分状态的可观察性,该领域支持检测与其他此类对竞争的被观察变量对之间的关​​系。

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