The Herd Moves? Emergence and Self-Organization in Collective Actors

Martin Beckenkamp
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引用次数: 10

Abstract

The puzzle about collective actors is in the focus of this contribution. The first section enters into the question of the adequateness and inadequateness of reductionist explanations for the description of entities. The considerations in this part do not draw on systems and hence not on principles of self-organisation, because this concept necessitates a systemic view. In other words, the first section discusses reductionism and holism on a very general level. The scope of these arguments goes far beyond self-organising systems. Pragmatically, these arguments will be discussed within the domain of corporative actors. Emergence is a concept embedded in system theory. Therefore, in the second part the previous general considerations about holism are integrated with respect to the concept “emergence”. In order to close the argument by exactly characterising self-organising systems and giving the conceptual link between self-organisation and emergence – which is done in the section four – the third section generally conceptualises systems. This conceptualisation is independent of whether these systems are self-organising or not. Feedback loops are specified as an essential component of systems. They establish the essential precondition of system-theoretic models where causes may also be effects and vice versa. System-theory is essential for dynamic models like ecological models and network thinking. In the fourth part mathematical chaos-theory bridges the gap between the presentation of systems in general and the constricted consideration of self-organising systems. The capability to behave or react chaotically is a necessary precondition of self-organisation. Nevertheless, there are striking differences in the answers given from theories of self-organisation in biology, economics or sociology on the question “What makes the whole more than the sum of its parts?” The fracture seems particularly salient at the borderline between formal-mathematical sciences like natural sciences including economy and other social sciences like sociology, for instance in the understanding and conceptualisation of “chaos” or “complexity”. Sometimes it creates the impression that originally well defined concepts from mathematics and natural science are metaphorically used in social sciences. This is a further reason why this paper concentrates on conceptualisations of self-organisation from natural sciences. The fifth part integrates the arguments from a system-theoretic point of view given in the three previous sections with respect to collective and corporative actors. Due to his prominence all five sections sometimes deal with the sociological system theory by Niklas Luhmann, especially in those parts with rigorous and important differences between his conception and the view given in this text. Despite Luhmann’s undoubted prominence in sociology, the present text strives for a more analytical and formal understanding of social systems and tries to find a base for another methodological approach.
兽群移动?集体行为体中的涌现和自组织
关于集体行为者的困惑是这篇文章的重点。第一部分探讨了实体描述的还原论解释的适当性和不适当性问题。本部分的考虑不涉及系统,因此不涉及自组织原则,因为这个概念需要系统的观点。换句话说,第一部分在一个非常一般的层面上讨论还原论和整体论。这些争论的范围远远超出了自组织系统。实际上,这些争论将在合作行为者的领域内进行讨论。涌现是系统理论中的一个概念。因此,在第二部分中,我们将之前关于整体论的一般性思考与“涌现”概念结合起来。为了通过准确地描述自组织系统的特征并给出自组织与涌现之间的概念联系(这在第四部分中完成)来结束论证,第三部分对系统进行了总体概念化。这种概念化与这些系统是否自组织无关。反馈回路被指定为系统的基本组成部分。它们建立了系统理论模型的基本前提,其中原因也可以是结果,反之亦然。系统理论对于生态模型和网络思维等动态模型至关重要。在第四部分中,数学混沌理论在系统的一般表现和自组织系统的狭隘考虑之间架起了桥梁。行为或反应混乱的能力是自组织的必要前提。然而,对于“是什么使整体大于部分之和”这个问题,生物学、经济学或社会学的自组织理论给出的答案存在显著差异?在形式数学科学(如包括经济学在内的自然科学)和社会学等其他社会科学(例如对“混沌”或“复杂性”的理解和概念化)之间的边界上,这种断裂似乎特别突出。有时它会给人一种印象,即数学和自然科学中原本定义良好的概念被隐喻地用于社会科学。这也是本文关注自然科学中自组织概念的进一步原因。第五部分整合了前三节中关于集体行为者和法人行为者的系统理论观点。由于卢曼的突出地位,所有五个部分有时都涉及卢曼的社会学系统理论,特别是在他的概念与本文给出的观点之间存在严格和重要差异的部分。尽管卢曼在社会学上的突出地位是毋庸置疑的,但本文力求对社会系统进行更分析和正式的理解,并试图为另一种方法论方法找到基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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