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@inproceedings{2304578,
author = {Klaška, David and Kučera, Antonín and Kurečka, Martin and Musil, Vít and Novotný, Petr and Řehák, Vojtěch},
address = {Neuveden},
booktitle = {Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023,},
doi = {http://dx.doi.org/10.24963/ijcai.2023/20},
editor = {Edith Elkind},
keywords = {Multi-agent systems; strategy synthesis},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Neuveden},
isbn = {978-1-956792-03-4},
pages = {171-179},
publisher = {International Joint Conferences on Artificial Intelligence},
title = {Synthesizing Resilient Strategies for Infinite-Horizon Objectives in Multi-Agent Systems},
url = {https://www.ijcai.org/proceedings/2023/20},
year = {2023}
}
TY - JOUR
ID - 2304578
AU - Klaška, David - Kučera, Antonín - Kurečka, Martin - Musil, Vít - Novotný, Petr - Řehák, Vojtěch
PY - 2023
TI - Synthesizing Resilient Strategies for Infinite-Horizon Objectives in Multi-Agent Systems
PB - International Joint Conferences on Artificial Intelligence
CY - Neuveden
SN - 9781956792034
KW - Multi-agent systems
KW - strategy synthesis
UR - https://www.ijcai.org/proceedings/2023/20
N2 - 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.
ER -
KLAŠKA, David, Antonín KUČERA, Martin KUREČKA, Vít MUSIL, Petr NOVOTNÝ a Vojtěch ŘEHÁK. Synthesizing Resilient Strategies for Infinite-Horizon Objectives in Multi-Agent Systems. Online. In Edith Elkind. \textit{Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023,}. Neuveden: International Joint Conferences on Artificial Intelligence, 2023, s.~171-179. ISBN~978-1-956792-03-4. Dostupné z: https://dx.doi.org/10.24963/ijcai.2023/20.
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