Abstract
The increasing complexity and size of electronic systems in industry, combined with growing market demand, requires industries to implement an efficient safety system to preserve equipment viability, environment protection and especially human life protection. The aim of this paper is to present a dynamic safety system based on a multi-agent paradigm using case-based reasoning to identify and react to risks. To develop the base of cases, an exhaustive risk analysis was carried out, giving rise to risk ontology and their precursors. Then, a model for identifying the similarities between precursors was developed. Case-based reasoning is very reactive, and with the presented model of similarity, the developed security system was very reactive against the risks that the system was experiencing during the experiments.
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