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首页> 外文期刊>Journal of experimental psychology. Animal learning and cognition >A Combination of Common and Individual Error Terms Is Not Needed to Explain Associative Changes When Cues With Different Training Histories Are Conditioned in Compound: A Review of Rescorla's Compound Test Procedure
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A Combination of Common and Individual Error Terms Is Not Needed to Explain Associative Changes When Cues With Different Training Histories Are Conditioned in Compound: A Review of Rescorla's Compound Test Procedure

机译:当在化合物中有不同培训历史的提示时,不需要常见和单独的误差术语的组合来解释与不同培训历史的提示:Rescorla复合试验程序的综述

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摘要

Rescorla (2000) devised the compound test procedure as a means of comparing changes in associative strength when cues with different training histories are conditioned in compound. It was specifically intended to dissociate changes in learning from changes in performance, and thereby, permit inferences about learning independently of assumptions regarding how learning translates into performance. In an elegant series of studies, Rescorla (2000, 2001) used this procedure to show that cues conditioned in compound undergo unequal associative change such that the poorer predictor of the outcome undergoes greater change rather than the equal change predicted by theories (e.g., Rescorla & Wagner, 1972) that rely on a common error term. Rescorla explained the data from the compound test procedure by proposing that associative change is calculated using a combination of two error terms, a common error term that carries the predictions of all cues present on a trial and an individual term that carries the prediction of any cue in isolation. This article is in two parts. The first used simulations to show that a theory, such as Rescorla-Wagner, which just relies on a common error term, can explain the compound test data if the function that translates learning into performance is double-sigmoidal across the full range of associative strength (i.e., from inhibition through to excitation). The second part likewise used simulations to show that a theory, such as the comparator theory (Miller & Matzel,1988),which does not invoke a common error term, can also explain the compound test data. Thus, a common error term is sufficient to explain the compound test data, but it is not necessary.
机译:Rescorla(2000)设计了复合试验程序作为比较缔合强度变化的手段,当化合物中有不同训练历史的提示时。它专门用于解散学习从性能变化的变化,从而允许关于学习如何转化为性能的假设,允许对学习的推论。在优雅的一系列研究中,Rescorla(2000,2001)使用了这种程序,表明在化合物中调节的提示经历了不平等的联想变化,使得结果的较差预测因子经历更大的变化,而不是理论预测的平等变化(例如,Rescorla &Wagner,1972)依赖普通错误术语。 Rescorla通过提出使用两个错误项的组合来计算联想变更,该数据从复合测试程序中解释了复合测试程序,该常见错误术语是携带试验中存在的所有提示的预测和携带任何提示预测的所有提示的预测隔离中。本文有两部分。第一次使用模拟表明,诸如Rescorla-Wagner等刚刚依赖普通误差项的理论,可以解释复合测试数据,如果将学习性能转化为性能的功能是在整个联想强度的双齿轮(即,从抑制到激发)。第二部分同样使用模拟来表明一个理论,例如比较器理论(Miller&Matzel,1988),它不会调用普通误差项,也可以解释复合测试数据。因此,常见的误差项足以解释复合测试数据,但不是必需的。

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