Favela Luis H, Amon Mary Jean
Department of Philosophy, University of Central Florida.
Cognitive Sciences Program, University of Central Florida.
Cogn Sci. 2023 Apr;47(4):e13280. doi: 10.1111/cogs.13280.
Complexity science is an investigative framework that stems from a number of tried and tested disciplines-including systems theory, nonlinear dynamical systems theory, and synergetics-and extends a common set of concepts, methods, and principles to understand how natural systems operate. By quantitatively employing concepts, such as emergence, nonlinearity, and self-organization, complexity science offers a way to understand the structures and operations of natural cognitive systems in a manner that is conceptually compelling and mathematically rigorous. Thus, complexity science both transforms understandings of cognition and reframes more traditional approaches. Consequently, if cognitive systems are indeed complex systems, then cognitive science ought to consider complexity science as a centerpiece of the discipline.
复杂性科学是一个研究框架，它源自许多经过实践检验的学科，包括系统理论、非线性动力学系统理论和协同学，并将一组共同的概念、方法和原理扩展到理解自然系统如何运作。通过定量运用涌现、非线性和自组织等概念，复杂性科学提供了一种在概念上具有说服力且数学上严谨的方式来理解自然认知系统的结构和运作。因此，复杂性科学既改变了对认知的理解，又重新构建了更传统的方法。所以，如果认知系统确实是复杂系统，那么认知科学就应该将复杂性科学视为该学科的核心。
