Power-law distribution in a learning process: competition, learning and natural selection

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorGupta, H. M.
dc.creatorCampanha, JR
dc.date2014-05-20T15:29:06Z
dc.date2016-10-25T18:04:17Z
dc.date2014-05-20T15:29:06Z
dc.date2016-10-25T18:04:17Z
dc.date2005-01-01
dc.date.accessioned2017-04-06T00:10:22Z
dc.date.available2017-04-06T00:10:22Z
dc.identifierPhysica A-statistical Mechanics and Its Applications. Amsterdam: Elsevier B.V., v. 345, n. 1-2, p. 267-274, 2005.
dc.identifier0378-4371
dc.identifierhttp://hdl.handle.net/11449/38755
dc.identifierhttp://acervodigital.unesp.br/handle/11449/38755
dc.identifier10.1016/j.physa.2004.07.010
dc.identifierWOS:000225175000021
dc.identifierhttp://dx.doi.org/10.1016/j.physa.2004.07.010
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/881806
dc.descriptionIn the present work, we propose a model for the statistical distribution of people versus number of steps acquired by them in a learning process, based on competition, learning and natural selection. We consider that learning ability is normally distributed. We found that the number of people versus step acquired by them in a learning process is given through a power law. As competition, learning and selection is also at the core of all economical and social systems, we consider that power-law scaling is a quantitative description of this process in social systems. This gives an alternative thinking in holistic properties of complex systems. (C) 2004 Elsevier B.V. All rights reserved.
dc.languageeng
dc.publisherElsevier B.V.
dc.relationPhysica A: Statistical Mechanics and Its Applications
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectpower-law
dc.subjectlearning
dc.subjectnatural selection
dc.titlePower-law distribution in a learning process: competition, learning and natural selection
dc.typeOtro


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