On Stable Multi-Agent Behavior in Face of Uncertainty
Abstract
A stable joint plan should guarantee the achievement of a designer's goal in a multiagent 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
Text
Tennenholtz. "On Stable Multi-Agent Behavior in Face of Uncertainty." Conference on Uncertainty in Artificial Intelligence, 1997.Markdown
[Tennenholtz. "On Stable Multi-Agent Behavior in Face of Uncertainty." Conference on Uncertainty in Artificial Intelligence, 1997.](https://mlanthology.org/uai/1997/tennenholtz1997uai-stable/)BibTeX
@inproceedings{tennenholtz1997uai-stable,
title = {{On Stable Multi-Agent Behavior in Face of Uncertainty}},
author = {Tennenholtz, Moshe},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1997},
pages = {445-452},
url = {https://mlanthology.org/uai/1997/tennenholtz1997uai-stable/}
}