Miller R R, Barnet R C, Grahame N J
Department of Psychology, State University of New York at Binghamton 13902-6000, USA.
Psychol Bull. 1995 May;117(3):363-86. doi: 10.1037/0033-2909.117.3.363.
The Rescorla-Wagner model has been the most influential theory of associative learning to emerge from the study of animal behavior over the last 25 years. Recently, equivalence to this model has become a benchmark in assessing connectionist models, with such equivalence often achieved by incorporating the Widrow-Hoff delta rule. This article presents the Rescorla-Wagner model's basic assumptions, reviews some of the model's predictive successes and failures, relates the failures to the model's assumptions, and discusses the model's heuristic value. It is concluded that the model has had a positive influence on the study of simple associative learning by stimulating research and contributing to new model development. However, this benefit should neither lead to the model being regarded as inherently "correct" nor imply that its predictions can be profitably used to assess other models.
在过去25年的动物行为研究中，雷斯克拉-瓦格纳模型一直是最具影响力的联想学习理论。最近，与该模型的等效性已成为评估联结主义模型的一个基准，这种等效性通常通过纳入威德罗-霍夫增量规则来实现。本文介绍了雷斯克拉-瓦格纳模型的基本假设，回顾了该模型的一些预测成功与失败之处，将失败与模型的假设相关联，并讨论了该模型的启发式价值。结论是，该模型通过激发研究并推动新模型的开发，对简单联想学习的研究产生了积极影响。然而，这种益处既不应导致该模型被视为本质上“正确”，也不应意味着其预测可有效地用于评估其他模型。
