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是什么促成了新颖的想法?联想的时间结构及其与发散性思维的关系。

What Enables Novel Thoughts? The Temporal Structure of Associations and Its Relationship to Divergent Thinking.

作者信息

Wang Peng, Wijnants Maarten L, Ritter Simone M

机构信息

Behavioural Science Institute, Radboud University Nijmegen, Nijmegen, Netherlands.

出版信息

Front Psychol. 2018 Sep 25;9:1771. doi: 10.3389/fpsyg.2018.01771. eCollection 2018.

Abstract

The aim of the current study is to enhance our understanding of cognitive creativity, specifically divergent thinking, by employing an interdisciplinary methodological approach. By integrating methodology from computational linguistics and complex systems into creativity research, the current study aims to shed light on the relationship between divergent thinking and the temporal structure of semantic associations. In complex systems, temporal structures can be described on a continuum from random to flexible-stable and to persistent. Random structures are highly unpredictable, persistent structures are highly predictable, and flexible-stable structures are in-between, they are partly predictable from previous observations. Temporal structures of associations that are random (e.g., dog-graveyard-north pole) or persistent (e.g., dog-cat-rat) are hypothesized to be detrimental to divergent thinking. However, a flexible-stable structure (e.g., dog-police-drugs) is hypothesized to be related to enhanced divergent thinking (inverted-U). This notion was tested ( = 59) in an association chain task, combined with a frequently used measure of divergent thinking (i.e., Alternative Uses Test). Latent Semantic Analysis from computational linguistics was used to quantify the associations, and methods from complex systems in form of Power Spectral Density analysis and detrended fluctuation analysis were used to estimate the temporal structure of those associations. Although the current study does not confirm that a flexible-stable (vs. random/persistent) temporal structure of associations is related to enhanced divergent thinking skills, it hopefully challenges fellow researchers to refine the recent methodological developments for assessing the (temporal) structure of associations. Moreover, the current cross-fertilization of methodological approaches may inspire creativity researchers to take advantage of other fields' ideas and methods. To derive a theoretically sound cognitive theory of creativity, it is important to integrate research ideas and empirical methods from a variety of disciplines.

摘要

本研究的目的是通过采用跨学科的方法论方法,增进我们对认知创造力,特别是发散性思维的理解。通过将计算语言学和复杂系统的方法整合到创造力研究中,本研究旨在阐明发散性思维与语义联想的时间结构之间的关系。在复杂系统中,时间结构可以在从随机到灵活稳定再到持久的连续体上进行描述。随机结构高度不可预测,持久结构高度可预测,而灵活稳定结构则介于两者之间,它们可以从先前的观察中部分预测。据推测,随机(如狗-墓地-北极)或持久(如狗-猫-鼠)的联想时间结构对发散性思维有害。然而,据推测,灵活稳定的结构(如狗-警察-毒品)与增强的发散性思维(倒U形)有关。这一概念在一个联想链任务中对59名参与者进行了测试,并结合了一种常用的发散性思维测量方法(即替代用途测试)。来自计算语言学的潜在语义分析被用来量化联想,复杂系统的方法以功率谱密度分析和去趋势波动分析的形式被用来估计这些联想的时间结构。尽管本研究没有证实联想的灵活稳定(相对于随机/持久)时间结构与增强的发散性思维技能有关,但它有望促使同行研究人员完善最近用于评估联想(时间)结构的方法论发展。此外,当前方法论方法的交叉融合可能会激发创造力研究人员利用其他领域的思想和方法。为了得出一个理论上合理的创造力认知理论,整合来自各种学科的研究思想和实证方法很重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3cc/6167455/4f7ed948a9d7/fpsyg-09-01771-g001.jpg

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