The exponential learning equation as a function of successful trials results in sigmoid performance
The exponential learning equation as a function of successful trials results in sigmoid performance
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DOI：
10.1016/j.jmp.2010.01.006
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发表时间：
2010-06-01
影响因子：
1.8
通讯作者：
Karniel, Amir
中科院分区：
文献类型：
--
作者：
Leibowitz, Nathaniel;Baum, Barak;Karniel, Amir
虽然指数学习方程是描述学习的标准方程之一，但也提出了一种先增加后减少的S型行为。在这里，我们证明了当自变量仅限于成功的试验时，Sigmoid行为是从标准指数方程数学推导出来的。研究表明，对于促进基于成功的学习的任务，绩效更好地用导出的Sigmoid曲线来描述。(C)2010 Elsevier Inc.保留所有权利。
While the exponential learning equation, indicating a gradually diminishing improvement, is one of the standard equations to describe learning, a sigmoid behavior with initially increasing then decreasing improvement has also been suggested. Here we show that the sigmoid behavior is mathematically derived from the standard exponential equation when the independent variable of the equation is restricted to the successful trials alone. It is suggested that for tasks promoting success-based learning, performance is better described by the derived sigmoid curve. (C) 2010 Elsevier Inc. All rights reserved.