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

Serrano Fernández, Emilio and Moncada, Pablo and Garijo Ayestaran, Mercedes and 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.

Description

Title: Evaluating social choice techniques into intelligent environments by agent based social simulation
Author/s:
  • Serrano Fernández, Emilio
  • Moncada, Pablo
  • Garijo Ayestaran, Mercedes
  • Iglesias Fernandez, Carlos Angel
Item Type: Article
Título de Revista/Publicación: Information Sciences
Date: December 2014
ISSN: 0020-0255
Volume: 286
Subjects:
Freetext Keywords: Social choice; Ambient intelligence; Agent-based social simulation; Agreement technology; Multiagent systems; Cluster analysis
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería de Sistemas Telemáticos [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2012-32457UnspecifiedUnspecifiedUnspecified
Government of SpainCEN-2010-1019UnspecifiedUnspecifiedUnspecified

More information

Item ID: 33195
DC Identifier: http://oa.upm.es/33195/
OAI Identifier: oai:oa.upm.es:33195
DOI: 10.1016/j.ins.2014.07.021
Official URL: http://www.sciencedirect.com/science/article/pii/S002002551400721X
Deposited by: Memoria Investigacion
Deposited on: 20 Jan 2015 19:06
Last Modified: 03 May 2019 11:43
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