Computation and Incentives in Social Choice: (Dagstuhl Seminar 12101)

Edith Elkind; Christian Klamler; Jeffrey S. Rosenschein; M. Remzi Sanver

doi:10.4230/DagRep.2.3.1

Computation and Incentives in Social Choice: (Dagstuhl Seminar 12101)

Edith Elkind, Christian Klamler, Jeffrey S. Rosenschein, M. Remzi Sanver

The Rachel and Selim Benin School of Engineering and Computer Science

The Hebrew University of Jerusalem

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	3
Pages (from-to)	1-22
Number of pages	22
Journal	Dagstuhl Reports
Volume	2
Issue number	3
DOIs	https://doi.org/10.4230/DagRep.2.3.1
State	Published - 25 Jun 2012

Keywords

Algorithmic Game Theory
Computational Social Choice
Fair Division
Incentives
Voting

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10.4230/DagRep.2.3.1License: CC BY-NC-ND

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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.",

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KW - Algorithmic Game Theory

KW - Computational Social Choice

KW - Fair Division

KW - Incentives

KW - Voting

U2 - 10.4230/DagRep.2.3.1

DO - 10.4230/DagRep.2.3.1

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Computation and Incentives in Social Choice: (Dagstuhl Seminar 12101)

Abstract

Keywords

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