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A New Landmark of Study on System Complexity -On the Development and Inspiration of the Complex Adaptive System Theory

机译:一种新的系统复杂性研究地标 - 复杂自适应系统理论的发展与启示

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CAS (short for "complex adaptive system") theory advanced by Holland broke through the limitation of previous study on the complex systems from a new visual angle. This paper introduces in detail the origin and development, traits, applications and the meaning on methodologies of the theory. The study of the system complexity is very important in the contemporary scientific study. CAS theory has provided new thinking methods to know, understand, control and manage the complex systems for the researchers. Holland defines the complex adaptive system as such systems that consist of large number of individuals that interact by sending and receiving signals and adapt or learn as they interact. These individuals are called as "adaptive agents" enjoying very large initiative and positivity and the internal mechanism of these agents are defined as the classifier systems. The basic frame of CAS theory includes four characteristics- aggregation, nonlinearity, flow, diversity and three mechanisms-tagging, internal model, building blocks of the adaptive agent, and the stimulus-response model of the agents and Echo Model of the macrosystem. Holland describes them by means of metaphorical method and suggests the computer-based modeling and simulating method should be adopted mainly to study the complex adaptive system.
机译:CAS(“复杂自适应系统”)理论通过荷兰推出的理论突破了从新视角的复杂系统上的先前研究的限制。本文详细介绍了理论的方法论的起源和开发,特征,应用以及含义。对系统复杂性的研究在当代科学研究中非常重要。 CAS理论提供了新的思维方法,了解,理解,控制和管理研究人员的复杂系统。荷兰定义了复杂的自适应系统,作为这样的系统,该系统包括通过发送和接收信号和适应或在交互时进行调整或学习的大量单独的。这些个体被称为“自适应药剂”享受非常大的主动性和积极性,并且这些药剂的内部机制定义为分类器系统。 CAS理论的基本帧包括四个特征 - 聚集,非线性,流量,多样性和三种机制标记,内部模型,自适应代理的构建块,以及宏观系统的代理的刺激响应模型和宏观系统的回声模型。荷兰通过隐喻方法描述了它们,并提出了基于计算机的建模和模拟方法,主要是为了研究复杂的自适应系统。

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