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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/38755
Title: 
Power-law distribution in a learning process: competition, learning and natural selection
Author(s): 
Institution: 
Universidade Estadual Paulista (UNESP)
ISSN: 
0378-4371
Abstract: 
In 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.
Issue Date: 
1-Jan-2005
Citation: 
Physica A-statistical Mechanics and Its Applications. Amsterdam: Elsevier B.V., v. 345, n. 1-2, p. 267-274, 2005.
Time Duration: 
267-274
Publisher: 
Elsevier B.V.
Keywords: 
  • power-law
  • learning
  • natural selection
Source: 
http://dx.doi.org/10.1016/j.physa.2004.07.010
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/38755
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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