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Cognitive science as complexity science.
WIREs Cognitive Science ( IF 3.9 ) Pub Date : 2020-02-11 , DOI: 10.1002/wcs.1525
Luis H Favela 1
Affiliation  

It is uncontroversial to claim that cognitive science studies many complex phenomena. What is less acknowledged are the contradictions among many traditional commitments of its investigative approaches and the nature of cognitive systems. Consider, for example, methodological tensions that arise due to the fact that like most natural systems, cognitive systems are nonlinear; and yet, traditionally cognitive science has relied on linear statistical data analyses. Cognitive science as complexity science is offered as an interdisciplinary framework for the investigation of cognition that can dissolve such contradictions and tensions. Here, cognition is treated as exhibiting the following four key features: emergence, nonlinearity, self‐organization, and universality. This framework integrates concepts, methods, and theories from such disciplines as systems theory, nonlinear dynamical systems theory, and synergetics. By adopting this approach, the cognitive sciences benefit from a common set of practices to investigate, explain, and understand cognition in its varied and complex forms.

中文翻译:

作为复杂性科学的认知科学。

声称认知科学研究许多复杂现象是毫无争议的。人们很少意识到的是它的调查方法与认知系统的本质之间的许多传统承诺之间的矛盾。例如,考虑由于与大多数自然系统一样,认知系统是非线性的事实而产生的方法论张力。然而,传统的认知科学一直依靠线性统计数据分析。作为复杂性科学的认知科学作为研究可以解决这种矛盾和紧张关系的跨学科框架提供。在这里,认知被视为表现出以下四个关键特征:出现,非线性,自组织和普遍性。该框架集成了概念,方法,以及来自系统理论,非线性动力学系统理论和协同学等学科的理论。通过采用这种方法,认知科学得益于一套通用的实践,可以研究,解释和理解形式多样且复杂的认知。
更新日期:2020-02-11
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