Collective decision-making problems arise when a set of individual agents need to make a choice over a set of common alternatives. A central problem in the study of these situations is that of aggregating individual expressions, such as preferences, judgments and beliefs, into a collective view, to obtain a summary of the individual views provided. Several frameworks have been developed to study this problem, by both the community of Social Choice Theory and the community of Artificial Intelligence. This workshop aims at bringing together scholars from diverse research areas to obtain a state-of-the-art survey of current research on frameworks for multi-agent aggregation. The workshop is co-located with the PhD defense of Umberto Grandi which will take place in the Agnietenkapel of the University of Amsterdam on September 25th at 10:00 am.
VOC Zaal , Oost-Indisch Huis, University of Amsterdam (Kloveniersburgwal 48).The workshop is open to everybody with no admission fee.
|14:30 - 15:15||Christian List, London School of Economics|
|Preference formation and preference change|
|15:15 - 16:00||Jérôme Lang, Université Paris Dauphine|
|From voting rules to judgment aggregation rules|
|16:00 - 16:30||Coffee and cake break|
|16:30 - 17:15||Francesca Rossi, Università di Padova|
|Convergence of iterative voting|
|17:15 - 18:00||Craig Boutilier, University of Toronto|
|Empirical optimization in computational social choice:|
|prospects, challenges, and example applications|