Modeling bout-pause response patterns in variable-ratio and variable-interval schedules using hierarchical Bayesian methodology
Modeling bout-pause response patterns in variable-ratio and variable-interval schedules using hierarchical Bayesian methodology
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DOI：
10.1016/j.beproc.2018.07.014
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发表时间：
2018-12-01
影响因子：
1.3
通讯作者：
Tanno, Takayuki
中科院分区：
文献类型：
--
作者：
Matsui, Hiroshi;Yamada, Kota;Tanno, Takayuki
操作性反应的流被安排在由暂停分开的回合中，并且具有相同强化间间隔（IRI）的强化时间表中的性能差异主要是由于回合内反应率的差异，而不是回合启动率的差异。本研究采用分层贝叶斯模型作为一种新的方法来量化的响应回合的属性。使用伯努利分布表示保持回合/暂停的概率，而使用泊松分布量化回合内应答率。我们在IRIS中比较了可变比率（VR）和可变间隔（VI）时间表之间的回合/暂停模式。模型估计显示，在回合内停留概率之间的时间表没有差异。然而，在IRI中，VR组的回合内应答应答率高于VI组。这些结果与先前使用对数存活曲线描述回合内反应和回合起始反应的分析一致。此外，进行了模拟研究，以检查如何敏感的模型估计参数，根据不同的回合启动率。这些结果表明，回合内停留概率受回合间变化的影响，而回合内反应率参数则不受影响。这表明在不同的强化时间表期间，模型估计分离回合内和回合间参数的模型估计稳健性。
Streams of operant responses are arranged in bouts separated by pauses and differences in performance in reinforcement schedules with identical inter-reinforcement intervals (IRIs) are primarily due to differences in within bout response rate, not in bout-initiation rate. The present study used hierarchical Bayesian modeling as a new method to quantify the properties of the response bout. A Bernoulli distribution was utilized to express the probability to stay in bout/pause, while a Poisson distribution was utilized to quantify the within-bout response rates. We compared bout/pause patterns between variable-ratio (VR) and variable-interval (VI) schedules across IRIS. The model estimation revealed no difference in within-bout staying probability between schedules. However, response rates of within-bout responses were higher in VR than VI across IRIs. These results are consistent with previous analyses using a log-survivor plot to describe within-bout responses and bouts initiation responses. In addition, a simulation study was performed to examine how sensitively the model estimate the parameters according to different bout initiation rates. These result showed that the within-bout staying probability was affected by changes in between-bout while within-bout response rate parameters were not. This suggests model estimation robustness of the model estimation to dissociate within-bout and between-bout parameters during different reinforcement schedules.