Abstract
Situations of distributed decision making are characterized by the existence of different points of view between decision makers (DM's), and by different temporal dynamics within the system, which reinforces importance of studies on information data flows between DM's, and is the basis of classical Distributed Decision Support System (DDSS) approaches. We propose not to limit the analysis of the situation (and consequently the role of the DDSS) to information flows, but to integrate cognitive modeling of each DM, and to use these latter to better analyze relevant information, in order to control it, within the flows exchanged. Our approach relies on an application framework concerning decision making in Maritime Surveillance.
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