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Voting with rank dependent scoring rules

Producción científica: Conference contributionrevisión exhaustiva

35 Citas (Scopus)

Resumen

Positional scoring rules in voting compute the score of an alternative by summing the scores for the alternative induced by every vote. This summation principle ensures that all votes contribute equally to the score of an alternative. We relax this assumption and, instead, aggregate scores by taking into account the rank of a score in the ordered list of scores obtained from the votes. This defines a new family of voting rules, rank-dependent scoring rules (RDSRs), based on ordered weighted average (OWA) operators, which, include all scoring rules, and many others, most of which of new. We study some properties of these rules, and show, empirically, that certain RDSRs are less manipulate than Borda voting, across a variety of statistical cultures.

Idioma originalEnglish
Título de la publicación alojadaProceedings of the 28th AAAI Conference on Artificial Intelligence and the 26th Innovative Applications of Artificial Intelligence Conference and the 5th Symposium on Educational Advances in Artificial Intelligence
Páginas698-704
Número de páginas7
ISBN (versión digital)9781577356776
EstadoPublished - 2014
Evento28th AAAI Conference on Artificial Intelligence, AAAI 2014, 26th Innovative Applications of Artificial Intelligence Conference, IAAI 2014 and the 5th Symposium on Educational Advances in Artificial Intelligence, EAAI 2014 - Quebec City, Canada
Duración: jul 27 2014jul 31 2014

Serie de la publicación

NombreProceedings of the National Conference on Artificial Intelligence
Volumen1

Conference

Conference28th AAAI Conference on Artificial Intelligence, AAAI 2014, 26th Innovative Applications of Artificial Intelligence Conference, IAAI 2014 and the 5th Symposium on Educational Advances in Artificial Intelligence, EAAI 2014
País/TerritorioCanada
CiudadQuebec City
Período7/27/147/31/14

Nota bibliográfica

Publisher Copyright:
Copyright © 2014, Association for the Advancement of Artificial Intelligence.

Financiación

FinanciadoresNúmero del financiador
National Science Foundation (NSF)IIS-1107011

    ASJC Scopus subject areas

    • Software
    • Artificial Intelligence

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