<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-13T02:43:38Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2117/175449" metadataPrefix="qdc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2117/175449</identifier><datestamp>2026-02-02T09:22:01Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452950</setSpec></header><metadata><qdc:qualifieddc xmlns:qdc="http://dspace.org/qualifieddc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://dspace.org/qualifieddc/ http://www.ukoln.ac.uk/metadata/dcmi/xmlschema/qualifieddc.xsd">
   <dc:title>A probabilistic unified approach for power indices in simple games</dc:title>
   <dc:creator>Freixas Bosch, Josep</dc:creator>
   <dc:creator>Pons Vallès, Montserrat</dc:creator>
   <dc:subject>Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Teoria de jocs</dc:subject>
   <dc:subject>Game theory</dc:subject>
   <dc:subject>Decision making -- Mathematical models</dc:subject>
   <dc:subject>Voting -- Mathematical models</dc:subject>
   <dc:subject>Simple games</dc:subject>
   <dc:subject>Power indices</dc:subject>
   <dc:subject>Probabilistic models</dc:subject>
   <dc:subject>Jocs, Teoria de</dc:subject>
   <dc:subject>Decisió, Presa de -- Models matemàtics</dc:subject>
   <dc:subject>Vot -- Models matemàtics</dc:subject>
   <dc:subject>Classificació AMS::91 Game theory, economics, social and behavioral sciences::91A Game theory</dc:subject>
   <dc:subject>Classificació AMS::91 Game theory, economics, social and behavioral sciences::91B Mathematical economics</dc:subject>
   <dcterms:abstract>The final publication is available at Springer via https://doi.org/10.1007/978-3-662-60555-4_11</dcterms:abstract>
   <dcterms:abstract>Many power indices on simple games have been defined trying to measure, under different points of view, the “a priori” importance of a voter in a collective binary voting scenario. A unified probabilistic way to define some of these power indices is considered in this paper. We show that six well-known power indices are obtained under such a probabilistic approach. Moreover, some new power indices can naturally be obtained in this way.</dcterms:abstract>
   <dcterms:abstract>Peer Reviewed</dcterms:abstract>
   <dcterms:abstract>Postprint (author's final draft)</dcterms:abstract>
   <dcterms:issued>2019-11-01</dcterms:issued>
   <dc:type>Part of book or chapter of book</dc:type>
   <dc:relation>Lecture Notes in Computer Science (11890)</dc:relation>
   <dc:relation>Transactions on Computational Collective Intelligence (11890)</dc:relation>
   <dc:relation>https://link.springer.com/book/10.1007/978-3-662-60555-4</dc:relation>
   <dc:relation>info:eu-repo/grantAgreement/MINECO//MTM2015-66818-P/ES/ASPECTOS MATEMATICOS, COMPUTACIONALES Y SOCIALES EN CONTEXTOS DE VOTACION Y DE COOPERACION./</dc:relation>
   <dc:rights>Open Access</dc:rights>
   <dc:publisher>Springer</dc:publisher>
</qdc:qualifieddc></metadata></record></GetRecord></OAI-PMH>