DISCREPANCIES AND ANALOGIES IN ARTIFICIAL INTELLIGENCE AND ENGINEERING DESIGN APPROACHES IN ADDRESSING THE COLLABORATIVE DECISION-MAKING

Marija Jankovic (1, 2) , Pascale Zaraté (3, 4)

1 Ecole Centrale Paris
2 LGI - Laboratoire Génie Industriel - EA 2606
3 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
4 UT Capitole - Université Toulouse Capitole

One of the trends in the decision-making field in the past 20 years have been the migration from individual decision-making to collective one. We can state several changes of working conditions that influenced this trend: geographical dispersion due to the business internationalisation, concurrent work in order to satisfy time delays, facilitation of the information sharing induced by the development of local area networks (LAN) and internet. In this study we address the discrepancies and analogies in addressing the collaborative decision making in two scientific fields: artificial intelligence and engineering design. These two fields have different considerations and approaches in view to the decision-making support. In this paper, we expose a comparative study concerning two research studies, both decision support oriented: the first one concerns the collaborative decision-making in early design stages in vehicle development projects (Jankovic, Bocquet, Stal Le Cardinal, & Bavoux, 2006) and the second one concerns the development of an architecture of a Cooperative decision Support Systems (CDSS) (Zaraté, 2005).

Mots clés: Engineering design; Collaborative Decision-making; New Product and Process Development; DSS; Cooperative DSS

Domaines: Sciences de l'ingénieur [physics]

Marija Jankovic, Pascale Zaraté. DISCREPANCIES AND ANALOGIES IN ARTIFICIAL INTELLIGENCE AND ENGINEERING DESIGN APPROACHES IN ADDRESSING THE COLLABORATIVE DECISION-MAKING. International Journal of Decision Support System Technology, 2011, 3 (2), pp.1-14. ⟨hal-00823995⟩