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首页> 外文期刊>Complexity >Cognitive Network Science: A Review of Research on Cognition through the Lens of Network Representations, Processes, and Dynamics
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Cognitive Network Science: A Review of Research on Cognition through the Lens of Network Representations, Processes, and Dynamics

机译：认知网络科学：通过网络表示，流程和动态镜头认知研究综述

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Network science provides a set of quantitative methods to investigate complex systems, including human cognition. Although cognitive theories in different domains are strongly based on a network perspective, the application of network science methodologies to quantitatively study cognition has so far been limited in scope. This review demonstrates how network science approaches have been applied to the study of human cognition and how network science can uniquely address and provide novel insight on important questions related to the complexity of cognitive systems and the processes that occur within those systems. Drawing on the literature in cognitive network science, with a focus on semantic and lexical networks, we argue three key points. (i) Network science provides a powerful quantitative approach to represent cognitive systems. (ii) The network science approach enables cognitive scientists to achieve a deeper understanding of human cognition by capturing how the structure, i.e., the underlying network, and processes operating on a network structure interact to produce behavioral phenomena. (iii) Network science provides a quantitative framework to model the dynamics of cognitive systems, operationalized as structural changes in cognitive systems on different timescales and resolutions. Finally, we highlight key milestones that the field of cognitive network science needs to achieve as it matures in order to provide continued insights into the nature of cognitive structures and processes.
机译：网络科学提供了一系列定量方法来调查复杂的系统，包括人类认知。虽然不同域中的认知理论基于网络的视角，但网络科学方法论到定量研究认知的应用已经受到限制。该审查证明了网络科学方法如何应用于对人类认知的研究以及网络科学如何唯一地址，并为与认知系统复杂性有关的重要问题以及这些系统内发生的过程的重要问题。在认知网络科学中绘制文学，专注于语义和词汇网络，我们争论了三个关键点。 （i）网络科学提供了一种强大的定量方法来代表认知系统。 （ii）网络科学方法使认知科学家能够通过捕获在网络结构上的结构，即底层网络和过程中如何相互作用以产生行为现象来实现对人类认知的更深入了解。 （iii）网络科学提供了一种定量框架来模拟认知系统的动态，作为不同时间尺度和分辨率的认知系统的结构变化。最后，我们突出了认知网络科学领域需要实现的主要里程碑，以便在其成熟中实现，以便提供对认知结构和过程的性质的持续见解。

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