dc.creatorKnopoff, Damián Alejandro
dc.date.accessioned2022-10-14T18:11:45Z
dc.date.available2022-10-14T18:11:45Z
dc.date.issued2014
dc.identifierhttp://hdl.handle.net/11086/24674
dc.identifierhttps://doi.org/10.1142/S0218202513400137
dc.identifierhttps://doi.org/10.114/S0218202513400137
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4266087
dc.description.abstractThis paper presents a development of the so-called kinetic theory for active particles to the modeling of living, hence complex, systems localized in networks. The overall system is viewed as a network of interacting nodes, mathematical equations are required to describe the dynamics in each node and in the whole network. These interactions, which are nonlinearly additive, are modeled by evolutive stochastic games. The first conceptual part derives a general mathematical structure, to be regarded as a candidate towards the derivation of models, suitable to capture the main features of the said systems. An application on opinion formation follows to show how the theory can generate specific models.
dc.languageeng
dc.relationhttp://www.worldscientific.com/doi/abs/10.1142/S0218202513400137
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rightsrestrictedAccess
dc.sourcee-ISSN: 1793-6314
dc.sourceISSN: 0218-2025
dc.subjectSistemas vivos
dc.subjectRedes
dc.subjectInteracciones no lineales
dc.subjectAprendizaje
dc.subjectLiving systems
dc.subjectNetworks
dc.subjectSelf-organization
dc.subjectNonlinear interactions
dc.subjectLearning
dc.subjectOpinion formation
dc.titleOn a mathematical theory of complex systems on networs with application to opinion formation
dc.typearticle


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