DagRep.2.3.1.pdf
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Computation and Incentives in Social Choice (Dagstuhl Seminar 12101)
Authors and all authors of the abstracts in this report
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Part of:
Issue:
Dagstuhl Reports, Volume 2, Issue 3
Volume: Dagstuhl Reports, Volume 2
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license
- Publication Date: 2012-06-25
Cite AsGet BibTex
Edith Elkind, Christian Klamler, Jeffrey S. Rosenschein, and M. Remzi Sanver. Computation and Incentives in Social Choice (Dagstuhl Seminar 12101). In Dagstuhl Reports, Volume 2, Issue 3, pp. 1-22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)
https://doi.org/10.4230/DagRep.2.3.1
https://doi.org/10.4230/DagRep.2.3.1
Abstract
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.
Keywords
- Computational Social Choice
- Voting
- Incentives
- Algorithmic Game Theory
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