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认知科学中的网络。

Networks in cognitive science.

机构信息

Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA 02115, USA.

出版信息

Trends Cogn Sci. 2013 Jul;17(7):348-60. doi: 10.1016/j.tics.2013.04.010. Epub 2013 May 30.

Abstract

Networks of interconnected nodes have long played a key role in Cognitive Science, from artificial neural networks to spreading activation models of semantic memory. Recently, however, a new Network Science has been developed, providing insights into the emergence of global, system-scale properties in contexts as diverse as the Internet, metabolic reactions, and collaborations among scientists. Today, the inclusion of network theory into Cognitive Sciences, and the expansion of complex-systems science, promises to significantly change the way in which the organization and dynamics of cognitive and behavioral processes are understood. In this paper, we review recent contributions of network theory at different levels and domains within the Cognitive Sciences.

摘要

网络的相互连接的节点在认知科学中扮演了一个重要的角色,从人工神经网络到语义记忆的扩散激活模型。然而,最近一种新的网络科学已经发展起来,为理解互联网、代谢反应和科学家之间的合作等不同背景下的全局系统属性的出现提供了新的视角。今天,将网络理论纳入认知科学,并扩展复杂系统科学,有望极大地改变我们理解认知和行为过程的组织和动态的方式。在本文中,我们回顾了网络理论在认知科学的不同层次和领域的最新贡献。

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