Journal
AUTOMATED SOFTWARE ENGINEERING
Volume 23, Issue 3, Pages 305-359Publisher
SPRINGER
DOI: 10.1007/s10515-014-0168-9
Keywords
Hybrid systems; Model checking; Agent architectures
Categories
Funding
- Engineering and Physical Sciences Research Council [EP/F037201, EP/F037570]
- Engineering and Physical Sciences Research Council [EP/L024942/1, EP/J011843/1, EP/L024845/1, EP/J011843/2, EP/F037201/1] Funding Source: researchfish
- EPSRC [EP/L024845/1, EP/L024942/1, EP/J011843/2, EP/F037201/1, EP/J011843/1] Funding Source: UKRI
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We present a verification methodology for analysing the decision-making component in agent-based hybrid systems. Traditionally hybrid automata have been used to both implement and verify such systems, but hybrid automata based modelling, programming and verification techniques scale poorly as the complexity of discrete decision-making increases making them unattractive in situations where complex logical reasoning is required. In the programming of complex systems it has, therefore, become common to separate out logical decision-making into a separate, discrete, component. However, verification techniques have failed to keep pace with this development. We are exploring agent-based logical components and have developed a model checking technique for such components which can then be composed with a separate analysis of the continuous part of the hybrid system. Among other things this allows program model checkers to be used to verify the actual implementation of the decision-making in hybrid autonomous systems.
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