Suppr超能文献

节点结构与等价类中的刺激相关性:类后形成偏好测试。

Nodal structure and stimulus relatedness in equivalence classes: post-class formation preference tests.

机构信息

Westchester Institute for Human Development, USA.

出版信息

J Exp Anal Behav. 2011 May;95(3):343-68. doi: 10.1901/jeab.2011.95-343.

Abstract

Three experiments used postclass formation within-class preference test performances to evaluate the effects of nodal distance on the relatedness of stimuli in equivalence classes. In Experiment 1, two 2-node four-member equivalence classes were established using the simultaneous protocol in which all of the baseline relations were trained together, after which all emergent relations probes were presented together. All training and testing was done using match-to-sample trials that contained two comparisons. After class formation, the effects of nodal distance were evaluated using within-class preference tests that contained samples and both comparisons from the same class. These tests yielded inconsistent performances for most participants. Experiment 2 replicated Experiment 1, but a third null comparison was used on all trials during class formation. Thereafter, virtually all of the within-class probes, for all participants, evoked performances that were consistent with the predicted effects of nodal distance, that is, the selection of comparisons that were nodally closer to the samples. It appears, then, that the establishment of the equivalence classes with a third null comparison induced control by nodal structure of the classes. Experiment 3 demonstrated the generality of these findings with larger classes that contained more nodal separations, that is, three-node five-member classes. Emergent-relations tests conducted immediately after the within-class tests showed the classes to be intact. Thus, the differential relatedness of stimuli in a class or their interchangeability depended on the content of a test trial: within-class probes occasioned responding indicative of differential strength among the stimuli in the class, while cross-class tests occasioned responding indicative of interchangeability of stimuli in the same class.

摘要

三个实验使用类内偏好测试成绩的后类形成来评估节点距离对等价类中刺激相关性的影响。在实验 1 中,使用同时协议建立了两个 2 节点 4 成员等价类,其中所有基线关系一起训练,然后一起呈现所有新出现的关系探针。所有训练和测试都是使用包含两个比较的匹配样本试验进行的。在类形成之后,使用包含来自同一类的样本和两个比较的类内偏好测试来评估节点距离的影响。对于大多数参与者来说,这些测试的结果不一致。实验 2 复制了实验 1,但在类形成过程中的所有试验中都使用了第三个空比较。此后,几乎所有参与者的类内探针都产生了与节点距离预测效应一致的结果,即选择与样本在节点上更近的比较。因此,似乎使用第三个空比较来建立等价类会导致节点结构对类的控制。实验 3 用包含更多节点分离的更大类(即 3 节点 5 成员类)证明了这些发现的普遍性。在类内测试之后立即进行的新关系测试显示这些类仍然完整。因此,类中刺激的不同相关性或可互换性取决于测试试验的内容:类内探针会引起对类中刺激之间不同强度的反应,而跨类测试会引起对同一类中刺激的可互换性的反应。

相似文献

2
Nodal structure and the partitioning of equivalence classes.节点结构与等价类的划分。
J Exp Anal Behav. 2008 May;89(3):359-81. doi: 10.1901/jeab.2008-89-359.
8
Formation of new stimulus equivalence classes by exclusion.通过排除形成新的刺激等价类。
J Exp Anal Behav. 2018 Mar;109(2):380-393. doi: 10.1002/jeab.322. Epub 2018 Mar 6.
9
Maintained nodal-distance effects in equivalence classes.维持等价类中的节点距离效应。
J Exp Anal Behav. 1995 Sep;64(2):129-45. doi: 10.1901/jeab.1995.64-129.

引用本文的文献

1
Reexamining nodality in equivalence classes.重新审视等价类中的节点性。
J Exp Anal Behav. 2022 Nov;118(3):398-411. doi: 10.1002/jeab.793. Epub 2022 Aug 22.
2
Derived Relations and Meaning in Responding to Art.对艺术做出回应时的衍生关系与意义。
Perspect Behav Sci. 2022 Apr 11;45(2):445-455. doi: 10.1007/s40614-022-00334-1. eCollection 2022 Jun.
4
Meaningful Stimuli and the Enhancement of Equivalence Class Formation.有意义刺激与等价类形成的增强
Perspect Behav Sci. 2017 Dec 27;41(1):69-93. doi: 10.1007/s40614-017-0134-5. eCollection 2018 Jun.

本文引用的文献

3
Nodal structure and the partitioning of equivalence classes.节点结构与等价类的划分。
J Exp Anal Behav. 2008 May;89(3):359-81. doi: 10.1901/jeab.2008-89-359.
5
Maintained nodal-distance effects in equivalence classes.维持等价类中的节点距离效应。
J Exp Anal Behav. 1995 Sep;64(2):129-45. doi: 10.1901/jeab.1995.64-129.
10
The structure of equivalence classes.等价类的结构。
J Exp Anal Behav. 1987 Sep;48(2):317-32. doi: 10.1901/jeab.1987.48-317.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验