Reasoning About Agents That May Know Other Agents’ Strategies
Reasoning About Agents That May Know Other Agents’ Strategies
Francesco Belardinelli, Sophia Knight, Alessio Lomuscio, Bastien Maubert, Aniello Murano, Sasha Rubin
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
Main Track. Pages 1787-1793.
https://doi.org/10.24963/ijcai.2021/246
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.
Keywords:
Knowledge Representation and Reasoning: Reasoning about Knowledge and Belief
Agent-based and Multi-agent Systems: Formal Verification, Validation and Synthesis
Agent-based and Multi-agent Systems: Multi-agent Planning