Collective Intelligence: Aggregation of Information from Neighbors in a Guessing Game

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dc.contributor.author Pérez, Toni
dc.contributor.author Zamora, Jordi
dc.contributor.author Eguíluz, Víctor M.
dc.date.accessioned 2019-11-06T11:56:12Z
dc.date.available 2019-11-06T11:56:12Z
dc.identifier.uri http://hdl.handle.net/11201/150263
dc.description.abstract [eng] Complex systems show the capacity to aggregate information and to display coordinated activity. In the case of social systems the interaction of different individuals leads to the emergence of norms, trends in political positions, opinions, cultural traits, and even scientific progress. Examples of collective behavior can be observed in activities like the Wikipedia and Linux, where individuals aggregate their knowledge for the benefit of the community, and citizen science, where the potential of collectives to solve complex problems is exploited. Here, we conducted an online experiment to investigate the performance of a collective when solving a guessing problem in which each actor is endowed with partial information and placed as the nodes of an interaction network. We measure the performance of the collective in terms of the temporal evolution of the accuracy, finding no statistical difference in the performance for two classes of networks, regular lattices and random networks. We also determine that a Bayesian description captures the behavior pattern the individuals follow in aggregating information from neighbors to make decisions. In comparison with other simple decision models, the strategy followed by the players reveals a suboptimal performance of the collective. Our contribution provides the basis for the micro-macro connection between individual based descriptions and collective phenomena.
dc.format application/pdf
dc.relation.isformatof Reproducció del document publicat a: https://doi.org/10.1371/journal.pone.0153586
dc.relation.ispartof Plos One, 2016, vol. 11, num. 4, p. 1-15
dc.rights cc-by (c) Pérez, Toni et al., 2016
dc.rights.uri http://creativecommons.org/licenses/by/3.0/es
dc.subject.classification 53 - Física
dc.subject.other 53 - Physics
dc.title Collective Intelligence: Aggregation of Information from Neighbors in a Guessing Game
dc.type info:eu-repo/semantics/article
dc.type info:eu-repo/semantics/publishedVersion
dc.date.updated 2019-11-06T11:56:12Z
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.identifier.doi https://doi.org/10.1371/journal.pone.0153586


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cc-by (c) Pérez, Toni et al., 2016 Except where otherwise noted, this item's license is described as cc-by (c) Pérez, Toni et al., 2016