Computational social choice is an active research area that combines tools and techniques of theoretical computer science and AI with those of mathematics, social sciences and economics. The aim of the Dagstuhl Seminar 12101 ``Computation and Incentives in Social Choice'' was to bring together the experts in these areas in order to discuss recent advances in this field and share open problems. This report collects the material presented during the course of the seminar.
@Article{elkind_et_al:DagRep.2.3.1, author = {Elkind, Edith and Klamler, Christian and Rosenschein, Jeffrey S. and Sanver, M. Remzi}, title = {{Computation and Incentives in Social Choice (Dagstuhl Seminar 12101)}}, pages = {1--22}, journal = {Dagstuhl Reports}, ISSN = {2192-5283}, year = {2012}, volume = {2}, number = {3}, editor = {Elkind, Edith and Klamler, Christian and Rosenschein, Jeffrey S. and Sanver, M. Remzi}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.2.3.1}, URN = {urn:nbn:de:0030-drops-35322}, doi = {10.4230/DagRep.2.3.1}, annote = {Keywords: Computational Social Choice, Voting, Incentives, Algorithmic Game Theory} }
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