Observatorio de I+D+i UPM

Descripción
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.
Internacional	Si
JCR del ISI	Si
Título de la revista	INFORMATION SCIENCES
ISSN	0020-0255
Factor de impacto JCR	3,643
Información de impacto	Cuartil Q1
Volumen	286
DOI	10.1016/j.ins.2014.07.021
Número de revista
Desde la página	102
Hasta la página	124
Mes	DICIEMBRE
Ranking	Index JCR 2013 3.893 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Esta actividad pertenece a memorias de investigación

• Autor: Emilio Serrano Fernandez (UPM)
• Autor: Mercedes Garijo Ayestaran (UPM)
• Autor: Carlos Angel Iglesias Fernandez (UPM)

• Creador: Departamento: Ingeniería de Sistemas Telemáticos