About Planning under Uncertainty in Dynamic Systems Exploiting Probabilistic Information

To sUIvive in a real world environment, a reason­ ing agent has to be equipped with several capa­ bilities ;.n order tc deal with incomplete informa­ tion about its target domain. One aspect of the incomplete information is the uncertainty about the effects of actions and events . Although the concrete outcome of an action or event cannot be predicted, often their relative likelihood can be quantified. In this paper we will discuss planning under uncertainty exploiting the available proba­ bilistic information in dynamic worlds, especially considering delayed effects of actions modeled as causally invoked events.