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

机译:学习过程中的幂律分布:竞争,学习和自然选择

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摘要

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.
机译:在当前的工作中,我们提出了一个基于竞争,学习和自然选择的人在学习过程中获得的步数与统计数字的统计模型。我们认为学习能力是正态分布的。我们发现,在学习过程中获得的人数与步数之间的关系是通过幂定律得出的。由于竞争,学习和选择也是所有经济和社会系统的核心,因此我们认为,幂律定标是对社会系统中这一过程的定量描述。这为复杂系统的整体性质提供了另一种思路。 (C)2004 Elsevier B.V.保留所有权利。

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