State Observation and Diagnosis of Discrete-Event SystemsDescribed by Stochastic Automata
Discrete Event Dynamic Systems
Developing virtual environments for industrial training
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Interactive virtual environments and distance education
An Agent-Based Approach to Developing Intelligent Virtual Reality-Based Training Systems
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Information Sciences: an International Journal
ISIICT'09 Proceedings of the Third international conference on Innovation and Information and Communication Technology
Interacting behavioral Petri nets analysis for distributed causal model-based diagnosis
Autonomous Agents and Multi-Agent Systems
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Some of the most popular approaches to model-based diagnosis consist of reasoning about a model of the behaviour of the system to be diagnosed by considering a set of observations about such a system and by explaining it in terms of a set of initial causes. This process has been widely modeled via logical formalisms essentially taking into account declarative aspects. In this paper, a new approach is proposed, where the diagnostic process is captured within a framework based on the formalism of Petri nets. We introduce a particular net model, called Behavioral Petri Net (BPN), We show how the formalization of the diagnostic process can be obtained in terms of reachability in a BPN and can be implemented by exploiting classical analysis techniques of Petri nets like reachability graph analysis and P-invariant computation. Advantages of the proposed methods, like suitability to parallel processing and exploitation of linear algebra techniques, are then pointed out