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Argumentation Theory and Decision Aiding

In: Trends in Multiple Criteria Decision Analysis

Author

Listed:
  • Wassila Ouerdane

    (Université Paris-Dauphine)

  • Nicolas Maudet

    (Université Paris-Dauphine)

  • Alexis Tsoukiàs

    (Université Paris-Dauphine)

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.

Suggested Citation

  • Wassila Ouerdane & Nicolas Maudet & Alexis Tsoukiàs, 2010. "Argumentation Theory and Decision Aiding," International Series in Operations Research & Management Science, in: Matthias Ehrgott & José Rui Figueira & Salvatore Greco (ed.), Trends in Multiple Criteria Decision Analysis, chapter 0, pages 177-208, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-5904-1_7
    DOI: 10.1007/978-1-4419-5904-1_7
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    Citations

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    Cited by:

    1. Jasmin Tremblay & Irène Abi-Zeid, 2016. "Value-based argumentation for policy decision analysis: methodology and an exploratory case study of a hydroelectric project in Québec," Annals of Operations Research, Springer, vol. 236(1), pages 233-253, January.
    2. Kadziński, Miłosz & Tervonen, Tommi & Rui Figueira, José, 2015. "Robust multi-criteria sorting with the outranking preference model and characteristic profiles," Omega, Elsevier, vol. 55(C), pages 126-140.
    3. Wulf, David & Bertsch, Valentin, 2016. "A natural language generation approach to support understanding and traceability of multi-dimensional preferential sensitivity analysis in multi-criteria decision making," MPRA Paper 75025, University Library of Munich, Germany.
    4. Jasmin Tremblay & Irène Abi-Zeid, 2016. "Value-based argumentation for policy decision analysis: methodology and an exploratory case study of a hydroelectric project in Québec," Annals of Operations Research, Springer, vol. 236(1), pages 233-253, January.
    5. Benjamin Delhomme & Franck Taillandier & Irène Abi-Zeid & Rallou Thomopoulos & Cédric Baudrit & Laurent Mora, 2017. "Designing an argumentative decision-aiding tool for urban planning. AIPA : an interface between multicriteria decision aiding and argumentative frameworks," Post-Print hal-01837517, HAL.
    6. Matej Mihelčić & Marko Bohanec, 2017. "Approximating incompletely defined utility functions of qualitative multi-criteria modeling method DEX," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(3), pages 627-649, September.

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