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The 10th International Conference on
Modeling Decisions for Artificial Intelligence

Barcelona, Catalonia , Spain November 20 - 22, 2013
Submission deadline:
For CDROM (extended): July 13th, 2013


Talks by Prof. Michio Sugeno, Prof. Salvador Barberà, Prof. Patrice Perny, Prof. Endre Pap, and Prof. Humberto Bustince will be given in MDAI 2013. Information follows.


Prof. Michio Sugeno
A Way to Choquet Calculus

Abstract: To be announced

Prof. Salvador Barberà
(Universitat Autònoma de Barcelona, Catalonia)
Some new domain restrictions in social choice, and their consequences

Authors: Salvador Barberà, Dolors Berga, Bernardo Moreno

Abstract: Restricting the domains of definition of social choice functions is a classical method to test the robustness of impossibility results and to find conditions under which attractive methods to reach collective decisions can be identified, satisfying different sets of desirable properties. We survey a number of domains that we have recently explored, and exhibit the possibility results that emerge for functions defined on each one of them. In particular, we have identified conditions under which the social preference relations derived by different supermajority voting systems would satisfy quasitransitivity, others where individual and group strategy-proofness would become equivalent, and still others where the strategy-proofness of social choice functions is guaranteed as soon as they satisfy very simple monotonicity and invariance requirements. Our main message is that every specific social choice problem deserves a careful analysis of the domains on which we need to define the method to be used, since this may open the door to attractive possibility results.

Prof. Endre Pap
( Academy of Sciences and Arts of Vojvodina, Serbia)
Theory and applications of non-additive measures and corresponding integrals

Abstract: To be announced

Prof. Patrice Perny
(LIP6 - UPMC, Pierre et Marie Curie University, France)
Compromise Search using Rank-dependent Aggregation Functions in Multiobjective Optimization

Abstract: To be announced

Prof. Humberto Bustince
(Public University of Navarra, Spain)
Decision making in an interval-valued setting

Abstract: In multi-expert decision making problems, the use of interval-valued fuzzy sets poses the problem of the non-existence of a natural total order to rank the alternatives. We consider here the class of admissible orders, which are total orders between intervals defined in terms of two aggregation functions. We make use of such orders to define interval-valued OWAs and Choquet integrals in such a way that, if the intervals degenerate into single points, we recover the classical concept of such aggregations. We then show that the choice of the linear order determines the solution of the given mutiexpert decision making problem, in a such a way that we can pick any solution up beforehand just by selecting the appropriate linear order. For this reason, we end proposing two algorithms such that second one allows us, by means of the Shapley value, to pick up the best alternative from a set of winning alternatives provided by the first algorithm.

MDAI 2013

IIIA - Institut d'Investigació en Intel·ligència Artificial

CSIC - Consejo Superior de Investigaciones Científicas

Vicenç Torra, Last modified: 01 : 15 December 08 2014.