Suppr超能文献

单回溯强化区分内隐程序性和外显陈述性类别学习。

One-back reinforcement dissociates implicit-procedural and explicit-declarative category learning.

作者信息

Smith J David, Jamani Sonia, Boomer Joseph, Church Barbara A

机构信息

Department of Psychology, Georgia State University, Atlanta, GA, USA.

University at Buffalo, The State University of New York, New York, NY, USA.

出版信息

Mem Cognit. 2018 Feb;46(2):261-273. doi: 10.3758/s13421-017-0762-8.

Abstract

The debate over unitary/multiple category-learning utilities is reminiscent of debates about multiple memory systems and unitary/dual codes in knowledge representation. In categorization, researchers continue to seek paradigms to dissociate explicit learning processes (yielding verbalizable rules) from implicit learning processes (yielding stimulus-response associations that remain outside awareness). We introduce a new dissociation here. Participants learned matched category tasks with a multidimensional, information-integration solution or a one-dimensional, rule-based solution. They received reinforcement immediately (0-Back reinforcement) or after one intervening trial (1-Back reinforcement). Lagged reinforcement eliminated implicit, information-integration category learning but preserved explicit, rule-based learning. Moreover, information-integration learners facing lagged reinforcement spontaneously adopted explicit rule strategies that poorly suited their task. The results represent a strong process dissociation in categorization, broadening the range of empirical techniques for testing the multiple-process theoretical perspective. This and related methods that disable associative learning-fostering a transition to explicit-declarative cognition-could have broad utility in comparative, cognitive, and developmental science.

摘要

关于单一/多重类别学习效用的争论让人想起了关于多重记忆系统以及知识表征中的单一/双重编码的争论。在分类研究中,研究人员一直在寻找范例,以区分显性学习过程(产生可言语化的规则)和隐性学习过程(产生仍处于意识之外的刺激-反应关联)。我们在此引入一种新的区分方法。参与者学习匹配的类别任务,任务具有多维信息整合解决方案或一维基于规则的解决方案。他们立即得到强化(0 步回溯强化)或在经过一次中间试验后得到强化(1 步回溯强化)。滞后强化消除了隐性的信息整合类别学习,但保留了显性的基于规则的学习。此外,面临滞后强化的信息整合学习者会自发采用与他们的任务不太匹配的显性规则策略。这些结果代表了分类中一种强有力的过程区分,拓宽了用于检验多重过程理论视角的实证技术范围。这种以及其他能够抑制联想学习——促进向显性陈述性认知转变的相关方法,可能在比较、认知和发展科学中具有广泛的效用。

相似文献

3
Conceptual anchoring dissociates implicit and explicit category learning.概念锚定可分离内隐和外显类别学习。
J Exp Psychol Learn Mem Cogn. 2022 Jun;48(6):813-828. doi: 10.1037/xlm0000856. Epub 2021 Feb 1.
5
The time course of explicit and implicit categorization.显性和隐性分类的时间进程。
Atten Percept Psychophys. 2015 Oct;77(7):2476-90. doi: 10.3758/s13414-015-0933-2.
6
Category label and response location shifts in category learning.类别标签和类别学习中的反应位置转移。
Psychol Res. 2010 Mar;74(2):219-36. doi: 10.1007/s00426-009-0245-z. Epub 2009 May 27.
10
Explicit and implicit category learning in categorical visual search.类别视觉搜索中的外显和内隐类别学习。
Atten Percept Psychophys. 2023 Oct;85(7):2131-2149. doi: 10.3758/s13414-023-02789-z. Epub 2023 Oct 2.

本文引用的文献

1
Dissociable learning processes in comparative psychology.比较心理学中的可分离学习过程。
Psychon Bull Rev. 2018 Oct;25(5):1565-1584. doi: 10.3758/s13423-017-1353-1.
2
7
Bridging the interval: theory and neurobiology of trace conditioning.弥合间隔:痕迹条件作用的理论与神经生物学
Behav Processes. 2014 Jan;101:103-11. doi: 10.1016/j.beproc.2013.08.016. Epub 2013 Sep 12.
9
Pigeons' categorization may be exclusively nonanalytic.鸽子的分类可能完全是非分析的。
Psychon Bull Rev. 2011 Apr;18(2):414-21. doi: 10.3758/s13423-010-0047-8.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验