Conference item
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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- Files:
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(Preview, Accepted manuscript, pdf, 277.1KB, Terms of use)
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Authors
- 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:
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pubs:673565
- UUID:
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uuid:f926910b-e3e7-435d-95eb-4d0fb50d75e2
- Local pid:
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pubs:673565
- Source identifiers:
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673565
- Deposit date:
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2017-01-30
- ARK identifier:
Terms of use
- Copyright holder:
- International Foundation for Autonomous Agents and Multiagent Systems
- Copyright date:
- 2017
- Notes:
-
Copyright © 2017, International Foundation for Autonomous Agents and
Multiagent Systems (www.ifaamas.org). All rights reserved.
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