@article{ins2014,
author = "Serrano, Emilio and Moncada, Pablo and Garijo, Mercedes and Iglesias, Carlos A.",
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.














 ",
comments = "JCR 2014 Q1 4.038, SJR 2014 Q1 2.226, Scopus 2014 Q1 7.4",
doi = "10.1016/j.ins.2014.07.021",
impact_factor = "3.643",
issn = "0020-0255",
journal = "Information Sciences",
keywords = "social choice;ambient intelligence;agent based social simulation;agreement technologies;multiagent;cluster analysis",
month = "December",
pages = "102.-124",
title = "{E}valuating social choice techniques into intelligent environments by agent based social simulation",
url = "http://www.sciencedirect.com/science/article/pii/S002002551400721X",
volume = "286",
year = "2014",
}