KLAŠKA, David, Antonín KUČERA, Martin KUREČKA, Vít MUSIL, Petr NOVOTNÝ and Vojtěch ŘEHÁK. Synthesizing Resilient Strategies for Infinite-Horizon Objectives in Multi-Agent Systems. Online. In Edith Elkind. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023,. Neuveden: International Joint Conferences on Artificial Intelligence, 2023, p. 171-179. ISBN 978-1-956792-03-4. Available from: https://dx.doi.org/10.24963/ijcai.2023/20.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name Synthesizing Resilient Strategies for Infinite-Horizon Objectives in Multi-Agent Systems
Authors KLAŠKA, David (203 Czech Republic, belonging to the institution), Antonín KUČERA (203 Czech Republic, guarantor, belonging to the institution), Martin KUREČKA (203 Czech Republic, belonging to the institution), Vít MUSIL (203 Czech Republic, belonging to the institution), Petr NOVOTNÝ (203 Czech Republic, belonging to the institution) and Vojtěch ŘEHÁK (203 Czech Republic, belonging to the institution).
Edition Neuveden, Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, p. 171-179, 9 pp. 2023.
Publisher International Joint Conferences on Artificial Intelligence
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW Paper URL
RIV identification code RIV/00216224:14330/23:00131516
Organization unit Faculty of Informatics
ISBN 978-1-956792-03-4
ISSN 1045-0823
Doi http://dx.doi.org/10.24963/ijcai.2023/20
Keywords in English Multi-agent systems; strategy synthesis
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 8/4/2024 15:40.
Abstract
We consider the problem of synthesizing resilient and stochastically stable strategies for systems of cooperating agents striving to minimize the expected time between consecutive visits to selected locations in a known environment. A strategy profile is resilient if it retains its functionality even if some of the agents fail, and stochastically stable if the visiting time variance is small. We design a novel specification language for objectives involving resilience and stochastic stability, and we show how to efficiently compute strategy profiles (for both autonomous and coordinated agents) optimizing these objectives. Our experiments show that our strategy synthesis algorithm can construct highly non-trivial and efficient strategy profiles for environments with general topology.
Links
GA23-06963S, research and development projectName: VESCAA: Verifikovatelná a efektivní syntéza kontrolerů pro autonomní agenty
Investor: Czech Science Foundation, VESCAA: Verifiable and Efficient Synthesis of Controllers for Autonomous Agents
MUNI/A/1081/2022, interní kód MUName: Modelování, analýza a verifikace (2023)
Investor: Masaryk University
MUNI/A/1433/2022, interní kód MUName: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity 23
Investor: Masaryk University
0011629866, interní kód MUName: Models, Algorithms, and Tools for Solving Adversarial Security Problems
Investor: Ostatní - foreign
PrintDisplayed: 23/7/2024 22:16