On Stable Multi-Agent Behavior in Face of Uncertainty
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.
PDF Link: /papers/97/p445-tennenholtz.pdf
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"