The 2nd Symposium Mathematics for Decision and Discovery (M4D2) will take place on January 30th in room B013.

>>>   Aims and Description   <<<

The main goal of M4D2 is to bring together researchers from fields of computer science
that may seem at first glance rather distant but that  share  in fact several common points.
This is particularly the case for topics pertaining to

• decision making and social choice,
• complex and multi-agent systems,
• knowledge discovery and machine learning,
• game theory and operations research, etc.

and that share the same interest in mathematical tools coming from

• ordered sets and lattice theory, knowledge spaces,
• clone theory and aggregation functions,
• Boolean and pseudo-Boolean functions,
• graph and hypergraph theory, combinatorial optimisation, etc.

With this event we hope to lay ground to fruitful discussions and expertise exchanges, and to provide
a space where participants will have the chance, not only to present their recent achievements, but
most importantly to share and discover different perspectives, to acquire new ideas, and to become
involved in new research efforts where their expertise is welcome and needed.

M4D2 is organized by M. Couceiro and A. Napoli in the framework of the MALOTEC seminar
(the French acronym for « Seminar of mathematics and logic for knowledge discovery »)
held in the ORPAILLEUR Team, at LORIA.

The main topic of the 2nd symposium M4D2 will be preference modeling, reasoning and learning and
it will take place on 30 of January, 2019. All members of LORIA, IECL, CRAN and other computer science
and mathematics laboratories, are most welcome!

>>>   Program   <<<

10h00-10h45: Henri Prade (IRIT)
Analogical prediction of preferences

11h00-11h45: Hélène Fargier (IRIT)
TBA

12h00-12h45: Michel Grabisch (CES, University of Paris I Panthéon-Sorbonne)
Monotone decomposition of 2-additive generalized additive independence models
(Joint work with Christophe Labreuche and Mustapha Ridaoui)

13h00-14h30: Lunch

14h30-15h15: Sébastien Destercke (Heudiasyc)
Ordinal regression with imprecise probabilities: from learning to inferences

15h30-16h15: Alexis Tsoukiàs (LAMSADE)
Comparing intervals of the real line
(Joint work with Meltem Öztürk)

16h30-17h00: Jimmy Devillet (University of Luxembourg)
Generalizations of single-peakedness

17h00-17h30: Discussions

Further information: https://malotec.loria.fr/2nd-symposium-mathematics-for-decision-and-discovery-m4d2