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Computation and Incentives in Social Choice (Dagstuhl Seminar 12101)

Authors Edith Elkind, Christian Klamler, Jeffrey S. Rosenschein, M. Remzi Sanver and all authors of the abstracts in this report

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DagRep.2.3.1.pdf
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Keywords
  • Computational Social Choice
  • Voting
  • Incentives
  • Algorithmic Game Theory

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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.

Cite As Get 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

Author Details

Edith Elkind
Christian Klamler
Jeffrey S. Rosenschein
M. Remzi Sanver
and all authors of the abstracts in this report
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