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Characterising and verifying the core in concurrent multi-player mean-payoff games

Abstract:
Concurrent multi-player mean-payoff games are important models for systems of agents with individual, non-dichotomous preferences. Whilst these games have been extensively studied in terms of their equilibria in non-cooperative settings, this paper explores an alternative solution concept: the core from cooperative game theory. This concept is particularly relevant for cooperative AI systems, as it enables the modelling of cooperation among agents, even when their goals are not fully aligned. Our contribution is twofold. First, we provide a characterisation of the core using discrete geometry techniques and establish a necessary and sufficient condition for its non-emptiness. We then use the characterisation to prove the existence of polynomial witnesses in the core. Second, we use the existence of such witnesses to solve key decision problems in rational verification and provide tight complexity bounds for the problem of checking whether some/every equilibrium in a game satisfies a given LTL or GR(1) specification. Our approach is general and can be adapted to handle other specifications expressed in various fragments of LTL without incurring additional computational costs.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.4230/LIPIcs.CSL.2024.32

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
ORCID:
0000-0002-9329-8410


Publisher:
Schloss Dagstuhl
Host title:
32nd EACSL Annual Conference on Computer Science Logic (CSL 2024)
Pages:
32:1-32:25
Series:
Leibniz International Proceedings in Informatics (LIPIcs)
Series number:
288
Publication date:
2024-02-01
Event title:
32nd EACSL Annual Conference on Computer Science Logic (CSL 2024)
Event location:
Naples, Italy
Event website:
https://csl2024.github.io/Home/
Event start date:
2026-02-19
Event end date:
2026-02-23
DOI:
ISSN:
1868-8969


Language:
English
Keywords:
Pubs id:
1713179
Local pid:
pubs:1713179
Deposit date:
2025-04-17
ARK identifier:

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