Social Decision Making with Multi-Relational Networks and Grammar-Based Particle Swarms

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dc.creatorRodriguez, Marko A.
dc.date2006-09-07
dc.date.accessioned2026-07-07T12:25:50Z
dc.date.available2026-07-07T12:25:50Z
dc.descriptionSocial decision support systems are able to aggregate the local perspectives of a diverse group of individuals into a global social decision. This paper presents a multi-relational network ontology and grammar-based particle swarm algorithm capable of aggregating the decisions of millions of individuals. This framework supports a diverse problem space and a broad range of vote aggregation algorithms. These algorithms account for individual expertise and representation across different domains of the group problem space. Individuals are able to pose and categorize problems, generate potential solutions, choose trusted representatives, and vote for particular solutions. Ultimately, via a social decision making algorithm, the system aggregates all the individual votes into a single collective decision.
dc.identifierhttps://arxiv.org/abs/cs/0609034
dc.identifierhttp://arxiv.org/abs/cs/0609034
dc.identifierHawaii International Conference on Systems Science (HICSS), pages 39-49, Waikoloa, Hawaii, IEEE Computer Society, ISSN: 1530-1605, January 2007
dc.identifierdoi:10.1109/HICSS.2007.487
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/214691
dc.subjectComputers and Society
dc.subjectHuman-Computer Interaction
dc.titleSocial Decision Making with Multi-Relational Networks and Grammar-Based Particle Swarms
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