Recognising a scenario by calculating a temporal proximity index between constraint graphs

The recognition of temporal scenarios is expressed by means of the proximity between a scenario (which represents a system´s possible behavior) and a session (which describes the observed behaviour). This recognition is qualified with a proximity index, which allows one to classify, either online or offline, the scenario candidates for an explanation of the evolution. This approach, when used in a dynamic system´s supervisory or diagnostic tasks, opens up possibilities for using or learning scenarios, or even for structuring the scenarios.