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Argumentation Theory and Decision Aiding

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Trends in Multiple Criteria Decision Analysis

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 142))

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.

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Authors and Affiliations

  1. CNRS – LAMSADE, Université Paris-Dauphine, Place du Maréchal de Lattre de Tassigny, 75775, PARIS Cedex 16, France

    Wassila Ouerdane, Nicolas Maudet & Alexis Tsoukiàs

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  1. Wassila Ouerdane
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  2. Nicolas Maudet
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  3. Alexis Tsoukiàs
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Correspondence to Nicolas Maudet .

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  1. Dept. Engineering Science, University of Auckland, Auckland, New Zealand

    Matthias Ehrgott

  2. Depto. Engenharia e Gestao, Instituto Superior Tecnico, Av. Prof.Dr. Cavaco Silva, Porto Salvo, 2780-990, Portugal

    José Rui Figueira

  3. Faculty of Economics, University of Catania, Corso Italia 55, Catania, 95129, Italy

    Salvatore Greco

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Ouerdane, W., Maudet, N., Tsoukiàs, A. (2010). Argumentation Theory and Decision Aiding. In: Ehrgott, M., Figueira, J., Greco, S. (eds) Trends in Multiple Criteria Decision Analysis. International Series in Operations Research & Management Science, vol 142. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-5904-1_7

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