TOWARD A STATISTICAL THEORY OF LEARNING
TOWARD A STATISTICAL THEORY OF LEARNING
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DOI：
10.1037/h0058559
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发表时间：
1950-01-01
影响因子：
5.4
通讯作者：
ESTES, WK
中科院分区：
文献类型：
--
作者：
ESTES, WK
“通过对刺激和反应的概念进行统计解释，并推导出控制简单行为系统的定量规律，人们试图澄清当前学习理论中的一些问题。在这个公式中，因变量是具有共同定量性质的行为样本的类别；自变量是环境事件的统计分布。理论定律陈述了行为和环境变量的瞬间变化之间的概率关系。从这个角度来看，有可能推导出反应概率和几种常用的学习测量之间的简单关系，并在简化条件下开发描述经典条件反射和工具学习情况下学习的数学表达式。（PsycINFO数据库记录(c) 2016 APA，版权所有）
" An attempt has been made to clarify some issues in current learning theory by giving a statistical interpretation to the concepts of stimulus and response and by deriving quantitative laws that govern simple behavior systems. Dependent variables, in this formulation, are classes of behavior samples with common quantitative properties; independent variables are statistical distributions of environmental events. Laws of the theory state probability relations between momentary changes in behavioral and environmental variables. From this point of view it has been possible to derive simple relations between probability of response and several commonly used measures of learning, and to develop mathematical expressions describing learning in both classical conditioning and instrumental learning situations under simplified conditions."(PsycINFO Database Record (c) 2016 APA, all rights reserved)