Modeling an Agent's Incomplete Knowledge During Planning and During Execution

Fahiem Bacchus, Ronald Petrick

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In many domains agents must be able to generate plans even when faced with incomplete knowledge of their environment We provide a model to capture the evolution of the agent s knowledge as it engages in the activities of planning where the agent must at tempt to infer theeects of hypothesized actions and execution where the agent must update its knowledge to reflect the actual effects of actions The effects on the agent s knowledge of a planned sequence of actions are very different from the effects of an executed sequence of actions and one of the aims of this work is to clarify this distinction The work is also aimed at providing a model that is not only rigorous but can also be of use in developing planning systems
Original languageEnglish
Title of host publicationProceedings of the International Conference on Principles of Knowledge Representation and Reasoning (KR 1998)
Number of pages12
Publication statusPublished - 1998


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