IJCAI 2021poster10 citations
Reasoning About Agents That May Know Other Agents’ Strategies
Francesco Belardinelli, Sophia Knight, Alessio Lomuscio, Bastien Maubert, Aniello Murano, Sasha Rubin
Abstract
We study the semantics of knowledge in strategic reasoning. Most existing works either implicitly assume that agents do not know one another’s strategies, or that all strategies are known to all; and some works present inconsistent mixes of both features. We put forward a novel semantics for Strategy Logic with Knowledge that cleanly models whose strategies each agent knows. We study how adopting this semantics impacts agents’ knowledge and strategic ability, as well as the complexity of the model-checking problem.
Knowledge Representation and Reasoning: Reasoning about Knowledge and BeliefAgent-based and Multi-agent Systems: Formal Verification, Validation and SynthesisAgent-based and Multi-agent Systems: Multi-agent Planning
BibTeX
@inproceedings{ijcai2021p246,
title = {Reasoning About Agents That May Know Other Agents’ Strategies},
author = {Belardinelli, Francesco and Knight, Sophia and Lomuscio, Alessio and Maubert, Bastien and Murano, Aniello and Rubin, Sasha},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence, {IJCAI-21}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Zhi-Hua Zhou},
pages = {1787--1793},
year = {2021},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2021/246},
url = {https://doi.org/10.24963/ijcai.2021/246},
}