Yamaguchi M
Department of Psychology, Waseda University, Toyama, Tokyo, Japan.
Behav Res Methods Instrum Comput. 1999 Nov;31(4):684-8. doi: 10.3758/bf03200746.
Two new methods for generating predictions from the Rescorla-Wagner model are presented. One is to solve the simultaneous equations of the model as differential equations, and the other is to solve them as difference equations, by using recent computer software. The model has been described in terms of simultaneous difference equations, and its predictions have traditionally been derived by performing an iterative computer simulation. But the limit can be taken, and the model can be considered in terms of simultaneous differential equations. Computer software, such as Mathematica and Maple, can solve simultaneous differential or difference equations. The author shows how to use Mathematica for some experimental paradigms, from simple acquisition to more complex cue competition paradigms, and also explains the rule for constructing input. The relative merits of these methods and of simulation are discussed.
本文提出了两种从雷斯克拉-瓦格纳模型生成预测的新方法。一种是将模型的联立方程作为微分方程来求解，另一种是利用最新的计算机软件将其作为差分方程来求解。该模型一直是用联立差分方程来描述的，其预测传统上是通过进行迭代计算机模拟得出的。但可以取极限，并且可以从联立微分方程的角度来考虑该模型。诸如Mathematica和Maple等计算机软件可以求解联立微分方程或差分方程。作者展示了如何将Mathematica用于一些实验范式，从简单的习得范式到更复杂的线索竞争范式，还解释了构建输入的规则。文中讨论了这些方法以及模拟方法的相对优点。
