Argumentation Theory and Decision Aiding

Wassila Ouerdane (), Nicolas Maudet () and Alexis Tsoukiàs ()
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Wassila Ouerdane: Université Paris-Dauphine
Nicolas Maudet: Université Paris-Dauphine
Alexis Tsoukiàs: Université Paris-Dauphine

Chapter Chapter 7 in Trends in Multiple Criteria Decision Analysis, 2010, pp 177-208 from Springer

Abstract: Abstract The purpose of this chapter is to examine the existent and potential contribution of argumentation theory to decision aiding, more specifically to multi-criteria decision aiding. On the one hand, decision aiding provides a general framework that can be adapted to different contexts of decision making and a formal theory about preferences. On the other hand, argumentation theory is a growing field of Artificial Intelligence, which is interested in non-monotonic logics. It is the process of collecting arguments in order to justify and explain conclusions. The chapter is decomposed into three successive frames, starting from general considerations regarding decision theory and Artificial Intelligence, moving on to the specific contribution of argumentation to decision-support systems, to finally focus on multi-criteria decision aiding.

Keywords: Argumentation theory; Multiple criteria; Decision analysis; Decision-support systems (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/978-1-4419-5904-1_7

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