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  1. A formal framework for deliberated judgment.Olivier Cailloux & Yves Meinard - 2020 - Theory and Decision 88 (2):269-295.
    While the philosophical literature has extensively studied how decisions relate to arguments, reasons and justifications, decision theory almost entirely ignores the latter notions. In this article, we elaborate a formal framework to introduce in decision theory the stance that decision-makers take towards arguments and counter-arguments. We start from a decision situation, where an individual requests decision support. We formally define, as a commendable basis for decision-aid, this individual’s deliberated judgment, a notion inspired by Rawls’ contributions to the philosophical literature, and (...)
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  • Explaining robust additive utility models by sequences of preference swaps.K. Belahcene, C. Labreuche, N. Maudet, V. Mousseau & W. Ouerdane - 2017 - Theory and Decision 82 (2):151-183.
    As decision-aiding tools become more popular everyday—but at the same time more sophisticated—it is of utmost importance to develop their explanatory capabilities. Some decisions require careful explanations, which can be challenging to provide when the underlying mathematical model is complex. This is the case when recommendations are based on incomplete expression of preferences, as the decision-aiding tool has to infer despite this scarcity of information. This step is key in the process but hardly intelligible for the user. The robust additive (...)
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  • A reward-based approach for preference modeling: A case study.Eva Armengol & Josep Puyol-Gruart - 2017 - Journal of Applied Logic 23:51-69.
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