转型的元系统模型:政治科学和国际关系中基于复杂性的一般方法

Piotr Baranowski
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引用次数: 0

摘要

在政治学和国际关系中,基于系统的研究仍然是一种重要但往往过时且内部矛盾的研究方法。基于生理学、控制论和一般系统理论的概念,20世纪60年代流行的基于系统的方法被视为过时和缺乏重点而被抛弃。尽管存在这些体系,但这一理论在自然科学领域得到了发展,最终创造了一种更适用于国内和国际政治的范式。过去的系统(如D. Easton提出的)最弱的元素是它们不允许突然和灾难性的转变,并且缺乏涌现性。本文旨在提出一个模型,允许系统的普通和灾难性的转变。利用复杂性范式的相关文献对复杂自适应系统特征进行了定义。将其与D. Easton、R. Axelrod、M. Cohen以及R. Jervis的命题联系起来,构建了这样一个模型。理论介绍被突尼斯阿拉伯之春早期阶段的一般案例研究所取代。该模型考虑了智能体结构问题,反映了复杂系统的动力学特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Meta-Systemic Model of Transformation: A General Complexity-Based Approach in Political Science and International Relations
System-based research remains an important yet usually outdated and internally contradictory approach in political science and international relations. Based on concepts borrowed from physiology, cybernetics, and general system theory, the system-based approach popularised in the 1960s was cast away as outdated and ill-focused. Despite those systems, the theory was developed in natural sciences, eventually creating a paradigm more applicable to domestic and international politics. The weakest element of past systems (like the one proposed by D. Easton) was that they did not allow for a sudden and catastrophic transformation and lacked emergence. This paper aims to present a model that would allow for the system’s ordinary and catastrophic transformation. The complex adaptive system features were defined using relevant literature on a paradigm of complexity. Connecting it with the propositions of D. Easton, R. Axelrod, and M. Cohen, as well as R. Jervis, such a model was constructed. The theoretical introduction is supplanted with a general case study of the early phases of the Arab Spring in Tunisia. The model mirrors the complex systems’ dynamics, considering the agent-structure problem.
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