Temporal scenario modelling and recognition based on possibilistic logic

Authors:
Michel Grabisch
Affiliations:
LIP6, UPMC 8, rue du Capitaine Scott, 75015 Paris, France
Venue:
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Year:
2003

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Abstract

We propose in this paper a new approach for the modelling and recognition of temporal scenarios. A scenario is represented by three different structures. The first one models the logical dependency between the elements of the scenario, using possibilistic logic, while the second one is the minimal temporal graph representing all temporal constraints between the events. The third structure explains the way the matching between observations and scenarios has to be done. The consistency between the three structures is ensured.