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Iterated Boolean games for rational verification

Abstract:
Rational verification is the problem of understanding what temporal logic properties hold of a multi-agent system when agents are modelled as players in a game, each acting rationally in pursuit of personal preferences. More specifically, rational verification asks whether a given property, expressed as a temporal logic formula, is satisfied in a computation of the system that might be generated if agents within the system choose strategies for selecting actions that form a Nash equilibrium. We show that, when agents are modelled using the Simple Reactive Modules Language, a widely-used system modelling language for concurrent and multi-agent systems, this problem can be reduced to a simpler query: whether some iterated game—in which players have control over a finite set of Boolean variables and goals expressed as Linear Temporal Logic (LTL) formulae—has a Nash equilibrium. To better understand the complexity of solving this kind of verification problem in practice, we then study the two-player case for various types of LTL goals, present some experimental results, and describe a general technique to implement rational verification using MCMAS, a model checking tool for the verification of concurrent and multi-agent systems.
Publication status:
Published
Peer review status:
Peer reviewed

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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


Publisher:
Association for Computing Machinery
Host title:
6th International Conference on Autonomous Agents and Multiagent Systems - AAMAS 2017
Journal:
6th International Conference on Autonomous Agents and Multiagent Systems - AAMAS 2017 More from this journal
Publication date:
2017-05-01
Acceptance date:
2017-01-24


Keywords:
Pubs id:
pubs:673565
UUID:
uuid:f926910b-e3e7-435d-95eb-4d0fb50d75e2
Local pid:
pubs:673565
Source identifiers:
673565
Deposit date:
2017-01-30
ARK identifier:

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