Evaluating social choice techniques into intelligent environments by agent based social simulation

Serrano Fernández, Emilio; Moncada, Pablo; Garijo Ayestaran, Mercedes y Iglesias Fernandez, Carlos Angel (2014). Evaluating social choice techniques into intelligent environments by agent based social simulation. "Information Sciences", v. 286 ; pp. 102-124. ISSN 0020-0255. https://doi.org/10.1016/j.ins.2014.07.021.

Descripción

Título: Evaluating social choice techniques into intelligent environments by agent based social simulation
Autor/es:
  • Serrano Fernández, Emilio
  • Moncada, Pablo
  • Garijo Ayestaran, Mercedes
  • Iglesias Fernandez, Carlos Angel
Tipo de Documento: Artículo
Título de Revista/Publicación: Information Sciences
Fecha: Diciembre 2014
Volumen: 286
Materias:
Palabras Clave Informales: Social choice; Ambient intelligence; Agent-based social simulation; Agreement technology; Multiagent systems; Cluster analysis
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería de Sistemas Telemáticos [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

The primary hypothesis stated by this paper is that the use of social choice theory in Ambient Intelligence systems can improve significantly users satisfaction when accessing shared resources. A research methodology based on agent based social simulations is employed to support this hypothesis and to evaluate these benefits. The result is a six-fold contribution summarized as follows. Firstly, several considerable differences between this application case and the most prominent social choice application, political elections, have been found and described. Secondly, given these differences, a number of metrics to evaluate different voting systems in this scope have been proposed and formalized. Thirdly, given the presented application and the metrics proposed, the performance of a number of well known electoral systems is compared. Fourthly, as a result of the performance study, a novel voting algorithm capable of obtaining the best balance between the metrics reviewed is introduced. Fifthly, to improve the social welfare in the experiments, the voting methods are combined with cluster analysis techniques. Finally, the article is complemented by a free and open-source tool, VoteSim, which ensures not only the reproducibility of the experimental results presented, but also allows the interested reader to adapt the case study presented to different environments.

Más información

ID de Registro: 33195
Identificador DC: http://oa.upm.es/33195/
Identificador OAI: oai:oa.upm.es:33195
Identificador DOI: 10.1016/j.ins.2014.07.021
URL Oficial: http://www.sciencedirect.com/science/article/pii/S002002551400721X
Depositado por: Memoria Investigacion
Depositado el: 20 Ene 2015 19:06
Ultima Modificación: 01 Ene 2017 23:30
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