Charles Pecheur

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This paper addresses the formal verification of diagnosis systems. We tackle the problem of diagnosability: given a partially observable dynamic system, and a diagnosis system observing its evolution over time, we discuss how to verify (at design time) if the diagnosis system will be able to infer (at runtime) the required information on the hidden part of(More)
We show that the problem of model checking multidimensional modal logics can be reduced to the problem of model checking ARCTL, an extension of the temporal logic CTL with action labels and operators to reason about actions. In particular, we introduce a methodology for model checking a temporal-epistemic logic by building upon an extension of the model(More)
Reasoning about strategies has been a concern for several years, and many extensions of Alternating-time Temporal Logic have been proposed. One extension, ATLKirF , allows the user to reason about the strategies of the agents of a system under partial observability and unconditional fairness constraints. However, the existing model-checking algorithm for(More)
This paper discusses the use of formal methods for analysing human-computer interaction. We focus on the mode confusion problem that arises whenever the user thinks that the system is doing something while it is in fact doing another thing. We consider two kinds of models: the system model describes the actual behaviour of the system and the mental model(More)
Artificial Intelligence (AI) is useful. AI can deliver more functionality for reduced cost. AI should be used more widely but won’t be unless developers can trust adaptive, nondeterministic, or complex AI systems. Verification and validation is one method used by software analysts to gain that trust. AI systems have features that make them hard to check(More)
AI software is often used as a means for providing greater autonomy to automated systems, capable of coping with harsh and unpredictable environments. Due in part to the enormous space of possible situations that they aim to addrs, autonomous systems pose a serious challenge to traditional test-based verification approaches. Efficient verification(More)