Discrepancies and Analogies in Artificial Intelligence and Engineering Design Approaches in Addressing Collaborative Decision-Making

Discrepancies and Analogies in Artificial Intelligence and Engineering Design Approaches in Addressing Collaborative Decision-Making

Marija Jankovic, Pascale Zaraté
Copyright: © 2013 |Pages: 14
DOI: 10.4018/978-1-4666-4002-3.ch008
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Abstract

One of the trends in the decision-making field in the past 20 years has been the migration from individual decision-making to collective one. Several changes of working conditions 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. This study examines 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. This paper exposes 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).
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2. Literature Review

The necessity of using the information technologies for supporting business processes and decision making has been growing in the past two or three decades (Kim, Godbole, Huang, Panchadhar, & W., 2004). Moreover, the development of the World Wide Web has been accelerating this process, introducing new application. For example, decision-support tools integrating different consensus management techniques to develop a solution (Kim, Godbole, Huang, Panchadhar, & W., 2004). This development of information technologies and the change i, working organisations have also been raising interest for supporting group decision-making and developing cooperative decision support systems (CSDS) (Zaraté, 2005).

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