首页> 外文期刊>Behavioural processes >Model versus model or model versus data? A commentary on Berg and McDowell's Quantitative, steady-state properties of Catania's computational model of the operant reserve'.
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Model versus model or model versus data? A commentary on Berg and McDowell's Quantitative, steady-state properties of Catania's computational model of the operant reserve'.

机译:模型与模型还是模型与数据?关于贝格和麦克道尔的卡塔尼亚储量计算模型的定量,稳态性质的评论”。

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摘要

Berg and McDowell's (2011) systematic exploration of some parameters of Catania's (2005) operant reserve model generated significant departures from the data predicted by matching models, especially in the form of an inflection point at the low end of the input-output function. The models need to be compared not only with each other but also with data. Much of the data to which both models have been fitted was obtained decades ago using equipment that constrained procedures and created unanalyzed contingencies. For example, in those days scheduled but unobtained reinforcers could not accumulate. To do justice to the sophistication of contemporary models, we need new data sets based on schedules that do not include such artifacts. Without such data, it is impossible to say whether the Berg/McDowell inflections are properties of behavior revealed by the model or are instead deviations of the model from real behavior and from other models.
机译:Berg和McDowell(2011)对卡塔尼亚(2005)作业储量模型的某些参数进行的系统性探索,与匹配模型预测的数据产生了明显的出入,特别是以输入-输出函数低端的拐点形式。这些模型不仅需要相互比较,而且还需要与数据进行比较。几十年前,使用约束过程并产生未分析意外事件的设备获得了两个模型都适用的大部分数据。例如,在预定的那些日子里,但没有得到的加固人员无法积累。为了公平处理当代模型,我们需要基于不包含此类工件的计划的新数据集。没有这样的数据,就无法确定Berg / McDowell拐点是模型揭示的行为的属性,还是模型与实际行为和其他模型的偏差。

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