Uncertainty in Artificial Intelligence
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Constructing Belief Networks to Evaluate Plans
Paul Lehner, Christopher Elsaesser, Scott Musman
Abstract:
This paper examines the problem of constructing belief networks to evaluate plans produced by an knowledge-based planner. Techniques are presented for handling various types of complicating plan features. These include plans with context-dependent consequences, indirect consequences, actions with preconditions that must be true during the execution of an action, contingencies, multiple levels of abstraction multiple execution agents with partially-ordered and temporally overlapping actions, and plans which reference specific times and time durations.
Keywords:
Pages: 416-422
PS Link:
PDF Link: /papers/94/p416-lehner.pdf
BibTex:
@INPROCEEDINGS{Lehner94,
AUTHOR = "Paul Lehner and Christopher Elsaesser and Scott Musman",
TITLE = "Constructing Belief Networks to Evaluate Plans",
BOOKTITLE = "Proceedings of the Tenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-94)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1994",
PAGES = "416--422"
}


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