Probabilistic Strategy Logic with Degrees of Observability
Publication date
2025-04-11
Editors
Walsh, Toby
Shah, Julie
Kolter, Zico
Advisors
Supervisors
Document Type
Part of book
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License
taverne
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’ actions and behaviours 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.
Keywords
Taverne, Artificial Intelligence
Citation
Mu, C, Motamed, N, Alechina, N & Logan, B 2025, Probabilistic Strategy Logic with Degrees of Observability. in T Walsh, J Shah & Z Kolter (eds), Special Track on AI Alignment. Proceedings of the AAAI Conference on Artificial Intelligence, no. 14, vol. 39, Association for the Advancement of Artificial Intelligence, pp. 15092-15099, 39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025, Philadelphia, United States, 25/02/25. https://doi.org/10.1609/aaai.v39i14.33655, conference