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心智是一个网络吗?认知网络科学中的地图、载体与天钩

Is the Mind a Network? Maps, Vehicles, and Skyhooks in Cognitive Network Science.

作者信息

Hills Thomas T, Kenett Yoed N

机构信息

Department of Psychology, University of Warwick.

Faculty of Industrial Engineering and Management, Technion - Israel Institute of Technology.

出版信息

Top Cogn Sci. 2022 Jan;14(1):189-208. doi: 10.1111/tops.12570. Epub 2021 Aug 26.

Abstract

Cognitive researchers often carve cognition up into structures and processes. Cognitive processes operate on structures, like vehicles driving over a map. Language alongside semantic and episodic memory are proposed to have structure, as are perceptual systems. Over these structures, processes operate to construct memory and solve problems by retrieving and manipulating information. Network science offers an approach to representing cognitive structures and has made tremendous inroads into understanding the nature of cognitive structure and process. But is the mind a network? If so, what kind? In this article, we briefly review the main metaphors, assumptions, and pitfalls prevalent in cognitive network science (maps and vehicles; one network/process to rule them all), highlight the need for new metaphors that elaborate on the map-and-vehicle framework (wormholes, skyhooks, and generators), and present open questions in studying the mind as a network (the challenge of capturing network change, what should the edges of cognitive networks be made of, and aggregated vs. individual-based networks). One critical lesson of this exercise is that the richness of the mind as network approach makes it a powerful tool in its own right; it has helped to make our assumptions more visible, generating new and fascinating questions, and enriching the prospects for future research. A second lesson is that the mind as a network-though useful-is incomplete. The mind is not a network, but it may contain them.

摘要

认知研究者常常将认知划分为结构和过程。认知过程作用于结构之上,就像车辆行驶在地图上。语言连同语义记忆和情景记忆被认为具有结构,感知系统也是如此。在这些结构之上,过程通过检索和处理信息来构建记忆并解决问题。网络科学提供了一种表征认知结构的方法,并在理解认知结构和过程的本质方面取得了巨大进展。但心智是一个网络吗?如果是,是哪种网络呢?在本文中,我们简要回顾了认知网络科学中普遍存在的主要隐喻、假设和陷阱(地图和车辆;一个网络/过程统御一切),强调了需要新的隐喻来完善地图 - 车辆框架(虫洞、天钩和生成器),并提出了将心智作为网络进行研究时的开放性问题(捕捉网络变化的挑战、认知网络的边应由什么构成,以及聚合网络与基于个体的网络)。这项研究的一个关键教训是,将心智视为网络的方法的丰富性使其本身成为一个强大的工具;它有助于使我们的假设更加清晰,产生新的、引人入胜的问题,并丰富未来研究的前景。第二个教训是,将心智视为网络虽然有用,但并不完整。心智不是一个网络,但它可能包含网络。

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