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Generalized Scoring Rules: A Framework That

By Reconciles Borda

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

Topics: Categories and Subject Descriptors, J.4 [Computer Applications, Social and Behavioral Sciences—Economics, I.2.11 [Distributed Artificial Intelligence, Multiagent Systems General Terms, Algorithms, Economics, Theory Additional Key Words and Phrases, Computational social choice, generalized scoring rules
Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.352.9170
Provided by: CiteSeerX
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