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.

Location

VOC Zaal , Oost-Indisch Huis, University of Amsterdam (Kloveniersburgwal 48).

The workshop is open to everybody with no admission fee.

Program

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