Formal models for decision
The ADRIA team conducts in-depth work on qualitative decision criteria under uncertainty and/or multi-criteria, at the confluence of numerical (probabilistic) and symbolic approaches to decision making. Placing ourselves within the general framework of Sugeno’s integrals, we seek to propose generalizations and/or refinements that satisfy the principle of the sure thing co-monotonous.
We are also interested in the problem of representation and treatment of individual or collective preferences on combinatorial (or multi-attribute) domains, such as voting on interrelated variables (e. g. multiple referendums), equitable sharing of indivisible resources, game theory, or reasoning on preference networks, possibly conditional.
- the use of the language of possibilistic logic (with symbolic weights) as a general framework for representing preferences,
- the study of a number of variants of the Sugeno integral, including “disintegrales” (which decrease as defects increase), and their logical counterparts,
- Didier Dubois, Hélène Fargier, Agnès Rico. Sugeno Integrals and the Commutation Problem. Dans / In : Modeling Decisions for Artificial Intelligence (MDAI 2018), Torra, Narukawa, Aguilo, Gonzalez-Hidalgo (Eds.), Springer, LNAI 11144, p. 48-63, 2018.
- Nahla Ben Amor, Hélène Fargier, Régis Sabbadin. Equilibria in Ordinal Games: A Framework based on Possibility Theory . Dans / In : International Joint Conference on Artificial Intelligence (IJCAI 2017), AAAI Press, p. 105-111, août 2017.
- Nahla Ben Amor, Fatma Essghaier, Hélène Fargier. Egalitarian collective decision making under qualitative possibilistic uncertainty : Principles and characterization. Dans / In : AAAI Conference on Artificial Intelligence , AAAI Press, p. 3482-3488, janvier 2015.
- Jérôme Lang, Jérôme Mengin, Lirong Xia. Voting on multi-issue domains with conditionally lexicographic preferences. Dans / In : Artificial Intelligence, Elsevier, Vol. 265, p. 18-44, 2018.