On Stable Multi-Agent Behavior in Face of Uncertainty
Artificial Intelligence
2013-02-08 v1
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.
Cite
@article{arxiv.1302.1570,
title = {On Stable Multi-Agent Behavior in Face of Uncertainty},
author = {Moshe Tennenholtz},
journal= {arXiv preprint arXiv:1302.1570},
year = {2013}
}
Comments
Appears in Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI1997)