| Title: |
Probabilistic Strategy Logic with Degrees of Observability |
| Authors: |
Mu, Chunyan; Motamed, Nima; Alechina, Natasha; Logan, Brian; Sub Intelligent Systems; Walsh, Toby; Shah, Julie; Kolter, Zico |
| Publication Year: |
2025 |
| Subject Terms: |
Taverne; Artificial Intelligence |
| Description: |
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. |
| Document Type: |
book part |
| File Description: |
application/pdf |
| Language: |
English |
| ISSN: |
2159-5399 |
| Relation: |
https://dspace.library.uu.nl/handle/1874/482854 |
| Availability: |
https://dspace.library.uu.nl/handle/1874/482854 |
| Rights: |
info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.D7398ECC |
| Database: |
BASE |