Uncertainty in Artificial Intelligence
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On Stable Multi-Agent Behavior in Face of Uncertainty
Moshe Tennenholtz
Abstract:
A stable joint plan should guarantee the achievement of a designer's goal in a multi-agent environment, while ensuring that deviations from the prescribed plan would be detected. We present a computational framework where stable joint plans can be studied, as well as several basic results about the representation, verification and synthesis of stable joint plans.
Keywords:
Pages: 445-452
PS Link:
PDF Link: /papers/97/p445-tennenholtz.pdf
BibTex:
@INPROCEEDINGS{Tennenholtz97,
AUTHOR = "Moshe Tennenholtz ",
TITLE = "On Stable Multi-Agent Behavior in Face of Uncertainty",
BOOKTITLE = "Proceedings of the Thirteenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-97)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1997",
PAGES = "445--452"
}


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