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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Planning Under Uncertainty and Its Applications
verfasst von : Paolo Traverso
Erschienen in: Reasoning, Action and Interaction in AI Theories and Systems
Verlag: Springer Berlin Heidelberg
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Several application domains require planning techniques that model uncertainty in the results of both actions and observations. Actions may have different effects that cannot be predicted at planning time. Observations may result into uncertainty about the current state of the world. In this paper, we first discuss the problem of planning with uncertainty in action execution and observations. We then discuss how this problem can be relevant to different application domains that represent rather different characteristics, like planning for controlling a robot that has to perform a surveillance task, as well as planning for the automated composition of web services for e-commerce.