Brahms: simulating practice for work systems design
International Journal of Human-Computer Studies
NuSMV 2: An OpenSource Tool for Symbolic Model Checking
CAV '02 Proceedings of the 14th International Conference on Computer Aided Verification
MASON: A Multiagent Simulation Environment
Simulation
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Spin model checker, the: primer and reference manual
Spin model checker, the: primer and reference manual
MCMAS: A Model Checker for the Verification of Multi-Agent Systems
CAV '09 Proceedings of the 21st International Conference on Computer Aided Verification
Model checking agent programs by using the program interpreter
CLIMA'10 Proceedings of the 11th international conference on Computational logic in multi-agent systems
Parametric model checking with verICS
Transactions on Petri nets and other models of concurrency IV
CLIMA'11 Proceedings of the 12th international conference on Computational logic in multi-agent systems
Model checking agent programming languages
Automated Software Engineering
Verifying brahms human-robot teamwork models
JELIA'12 Proceedings of the 13th European conference on Logics in Artificial Intelligence
Aviation safety: modeling and analyzing complex interactions between humans and automated systems
Proceedings of the 3rd International Conference on Application and Theory of Automation in Command and Control Systems
| Hi-index | 0.00 |
Recently there has been a proliferation of tools and languages for modeling multi-agent systems (MAS). Verification tools, correspondingly, have been developed to check properties of these systems. Most MAS verification tools, however, have their own input language and often specialize in one verification technology, or only support checking a specific type of property. In this work we present an extensible framework that leverages mainstream verification tools to successfully reason about various types of properties. We describe the verification of models specified in the Brahms agent modeling language to demonstrate the feasibility of our approach. We chose Brahms because it is used to model real instances of interactions between pilots, air-traffic controllers, and automated systems at NASA. Our framework takes as input a Brahms model along with a Java implementation of its semantics. We then use Java PathFinder to explore all possible behaviors of the model and, also, produce a generalized intermediate representation that encodes these behaviors. The intermediate representation is automatically transformed to the input language of mainstream model checkers, including PRISM, SPIN, and NuSMV allowing us to check different types of properties. We validate our approach on a model that contains key elements from the Air France Flight 447 accident.