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Generalized scoring rules: a framework that reconciles Borda and Condorcet

Published: 01 June 2013 Publication History

Abstract

Generalized scoring rules [Xia and Conitzer 08] are a relatively new class of social choice mechanisms. In this paper, we survey developments in generalized scoring rules, showing that they provide a fruitful framework to obtain general results, and also reconcile the Borda approach and Condorcet approach via a new social choice axiom. We comment on some high-level ideas behind GSRs and their connection to Machine Learning, and point out some ongoing work and future directions.

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  • (2018)Pairwise liquid democracyProceedings of the 27th International Joint Conference on Artificial Intelligence10.5555/3304415.3304436(137-143)Online publication date: 13-Jul-2018
  • (2015)Generalized Decision Scoring RulesProceedings of the Sixteenth ACM Conference on Economics and Computation10.1145/2764468.2764518(661-678)Online publication date: 15-Jun-2015

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Published In

cover image ACM SIGecom Exchanges
ACM SIGecom Exchanges  Volume 12, Issue 1
June 2013
56 pages
EISSN:1551-9031
DOI:10.1145/2509013
Issue’s Table of Contents

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2013
Published in SIGECOM Volume 12, Issue 1

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Author Tags

  1. computational social choice
  2. generalized scoring rules

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View all
  • (2019)Machine Learning Prediction of Nanoparticle In Vitro Toxicity: A Comparative Study of Classifiers and Ensemble-Classifiers using the Copeland IndexToxicology Letters10.1016/j.toxlet.2019.05.016Online publication date: May-2019
  • (2018)Pairwise liquid democracyProceedings of the 27th International Joint Conference on Artificial Intelligence10.5555/3304415.3304436(137-143)Online publication date: 13-Jul-2018
  • (2015)Generalized Decision Scoring RulesProceedings of the Sixteenth ACM Conference on Economics and Computation10.1145/2764468.2764518(661-678)Online publication date: 15-Jun-2015

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