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用行为动力学的进化理论研究复兴和重复。

Examining resurgence and repetition with the evolutionary theory of behavior dynamics.

机构信息

Kennedy Krieger Institute, USA; Johns Hopkins University School of Medicine, USA.

Kennedy Krieger Institute, USA; Johns Hopkins University School of Medicine, USA.

出版信息

Behav Processes. 2022 Nov;203:104776. doi: 10.1016/j.beproc.2022.104776. Epub 2022 Nov 3.

Abstract

Recently, Redner et al. (2022) examined the nature of resurgence across repeated iterations of the traditional three-phase resurgence procedure with four pigeons. Although extant research findings in this area are mixed, Redner et al. found that resurgence generally increased in magnitude with repetition. These findings provide a baseline against which future research examining resurgence using this three-phase procedure can be compared and contrasted. The purpose of the present investigation was to examine resurgence via concurrent schedule arrangements similar to those described by Redner et al. with 30 artificial organisms (AOs) animated by the Evolutionary Theory of Behavior Dynamics (McDowell, 2004). We quantified the prevalence of resurgence across iterations and found that resurgence occurred in 86.7 % (156 of 180) iterations across all 30 AOs. This is strikingly similar to the resurgence prevalence estimates of 87.5 % reported by both Redner et al. (2022). However, we also found that the magnitude of target responding generally did not change significantly with repetition. This finding is inconsistent with Redner et al. but is consistent with the predictions of prominent quantitative models of behavioral persistence and a number of relevant studies (Volkert et al., 2009; Gratz et al., 2019). We also conducted exploratory analyses to examine how several variables (e.g., sensitivity to reinforcement, reinforcer magnitude, number of sessions of exposure to various phases) affect the prevalence and magnitude of resurgence among AOs.

摘要

最近,Redner 等人(2022)在四只鸽子身上重复了传统的三相复现程序,检查了复现的本质。尽管这一领域的现有研究结果存在分歧,但 Redner 等人发现,复现通常会随着重复而增加。这些发现为未来使用这种三相程序检查复现的研究提供了一个基准,可以进行比较和对比。本研究的目的是通过类似于 Redner 等人描述的并发时间表安排来检查复现,使用 30 个由行为动态演化理论(McDowell,2004)驱动的人工生物体(AO)。我们量化了复现的出现频率,并发现 30 个 AO 中,复现出现在 86.7%(156 次)的迭代中。这与 Redner 等人(2022)报告的 87.5%的复现出现率估计非常相似。然而,我们还发现,目标反应的幅度通常不会随着重复而显著变化。这一发现与 Redner 等人的结果不一致,但与行为持续的主要定量模型和一些相关研究(Volkert 等人,2009;Gratz 等人,2019)的预测一致。我们还进行了探索性分析,以研究几个变量(如对强化的敏感性、强化物的大小、接触各种阶段的次数)如何影响 AO 中复现的出现率和幅度。

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