Multi agent system integrating Naturalistic Decision Roles: application to maritime traffic
Résumé
This paper focuses on simulating naturalistic decision making of experts in complex situations. The cognitive model described here is integrated into a multi-agent system. It integrates theories of Natural Decision Making with the purpose of producing realistic simulated decision via the notion of role. This model uses fuzzy representations for the identification of different elements of a situation, and pattern matching between the current situation and a set of typical known situations. To validate this model, we choose to apply it to maritime traffic. Maritime traffic simulation requires elaborated cognitive features: the collision regulations require interpretation and rely to a certain extent on anticipation of the actions of the other ship.