Uncertainty in Artificial Intelligence
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Time-Dependent Utility and Action Under Uncertainty
Eric Horvitz, Geoffrey Rutledge
Abstract:
We discuss representing and reasoning with knowledge about the time-dependent utility of an agent's actions. Time-dependent utility plays a crucial role in the interaction between computation and action under bounded resources. We present a semantics for time-dependent utility and describe the use of time-dependent information in decision contexts. We illustrate our discussion with examples of time-pressured reasoning in Protos, a system constructed to explore the ideal control of inference by reasoners with limit abilities.
Keywords:
Pages: 151-158
PS Link:
PDF Link: /papers/91/p151-horvitz.pdf
BibTex:
@INPROCEEDINGS{Horvitz91,
AUTHOR = "Eric Horvitz and Geoffrey Rutledge",
TITLE = "Time-Dependent Utility and Action Under Uncertainty",
BOOKTITLE = "Proceedings of the Seventh Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-91)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Mateo, CA",
YEAR = "1991",
PAGES = "151--158"
}


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