All from one, one for all, failure diagnosis of discrete event systems using representatives
Abstract
Failure diagnosis in large and complex systems is a critical and challenging task. In the realm of model based diagnosis on discrete event systems, computing a failure diagnosis means computing the set of system behaviours that could explain observations. Depending on the diagnosed system, such behaviours can be numerous, so that a problem of representing them is induced. The paper discusses about this problem and presents a way of representing a diagnosis by the use of a partial order reduction technique.
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Proceedings of the International Conference on Tools with Artificial Intelligence
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