Cognitive Models in Intelligence Research: Advantages and Recommendations for Their Application.
Cognitive Models in Intelligence Research: Advantages and Recommendations for Their Application.
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DOI：
10.3390/jintelligence6030034
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发表时间：
2018-07-17
影响因子：
3.5
通讯作者：
Schubert, Anna-Lena
中科院分区：
文献类型：
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作者：
Frischkorn, Gidon T;Schubert, Anna-Lena
认知的数学模型测量认知过程中的个体差异，如处理速度，工作记忆容量和执行功能，这些可能是一般智力的基础。因此，认知模型允许识别特定认知过程之间的关联，并跟踪旨在增强智力的实验干预对介导过程参数的影响。此外，认知模型提供了一个明确的理论形式化的理论，关于特定的认知过程，可能有助于克服模糊言语理论的解释歧义。在本文中，我们给出了一个概述的优势，认知建模在智力研究和目前的模型在处理速度，工作记忆和选择性注意，可能是特别感兴趣的智力研究领域。此外，我们还提供了在智力研究中应用认知模型的指导方针，包括数据收集，模型拟合的评估和统计分析。
Mathematical models of cognition measure individual differences in cognitive processes, such as processing speed, working memory capacity, and executive functions, that may underlie general intelligence. As such, cognitive models allow identifying associations between specific cognitive processes and tracking the effect of experimental interventions aimed at the enhancement of intelligence on mediating process parameters. Moreover, cognitive models provide an explicit theoretical formalization of theories regarding specific cognitive processes that may help in overcoming ambiguities in the interpretation of fuzzy verbal theories. In this paper, we give an overview of the advantages of cognitive modeling in intelligence research and present models in the domains of processing speed, working memory, and selective attention that may be of particular interest for intelligence research. Moreover, we provide guidelines for the application of cognitive models in intelligence research, including data collection, the evaluation of model fit, and statistical analyses.