Probabilistic Strategy Logic with Degrees of Observability
Abstract
There has been considerable work on reasoning about the strategic ability of agents under imperfect information. However, existing logics such as Probabilistic Strategy Logic are unable to express properties relating to information transparency. Information transparency concerns the extent to which agents' behaviours and actions are observable by other agents. Reasoning about information transparency is useful in many domains including security, privacy, and decision-making. In this paper, we present a formal framework for reasoning about information transparency properties in stochastic multi-agent systems. We extend Probabilistic Strategy Logic with new observability operators that capture the degree of observability of temporal properties by agents. We show that the model checking problem for the resulting logic is decidable.
Cite
Text
Mu et al. "Probabilistic Strategy Logic with Degrees of Observability." AAAI Conference on Artificial Intelligence, 2025. doi:10.1609/AAAI.V39I14.33655Markdown
[Mu et al. "Probabilistic Strategy Logic with Degrees of Observability." AAAI Conference on Artificial Intelligence, 2025.](https://mlanthology.org/aaai/2025/mu2025aaai-probabilistic/) doi:10.1609/AAAI.V39I14.33655BibTeX
@inproceedings{mu2025aaai-probabilistic,
title = {{Probabilistic Strategy Logic with Degrees of Observability}},
author = {Mu, Chunyan and Motamed, Nima and Alechina, Natasha and Logan, Brian},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2025},
pages = {15092-15099},
doi = {10.1609/AAAI.V39I14.33655},
url = {https://mlanthology.org/aaai/2025/mu2025aaai-probabilistic/}
}