Structure and Resolution of Systemic Problems

J. Korn
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引用次数: 1

Abstract

The dichotomy of 'production' and 'product' or the means of progression from one 'equilibrium state' to another is suggested. This phenomenon runs throughout both the natural and artificial words. As shown in Figure 1, nearly all human intellectual endeavour has been concerned with understanding the notion of product which is closer to immediate human interests. Humanity has achieved producing products, physical, intellectual or artefacts, and works of arts of ever-increasing complexity because its ability to construct production systems or structures is innate. Organised approaches to understanding the workings of structures or systems have only been attempted during and after the 2nd WW when control theory was developed followed by more 'general systems thinking' initiated by von Bertalanffy beginning with the 1950's. These approaches, although inspiring and ground breaking, lack the fundamentals of the structural view of the world, fragmented, mostly speculative with superficial effort to help problem solving or design thinking and do not fit into branches of accepted knowledge and teaching schemes. The purpose of this study is to address these issues using the methodology of conventional science with 'systemic content'. The study has produced a generalised structure of problem solving for the resolution of systemic problems which can be expressed in 'testable', operational form through the symbolism of 'linguistic modelling'. The suggested criteria reach out to other symbolisms to filter out those which do not satisfy this condition. The symbolism of linguistic modelling is amenable to computing when software is available, supported by applications and passed the test of debate.
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系统问题的结构和解决
“生产”和“产品”的二分法或从一种“平衡状态”到另一种“平衡状态”的进展手段被建议。这种现象在自然语言和人工语言中都存在。如图1所示,几乎所有人类的智力努力都与理解更接近人类直接利益的产品概念有关。人类已经实现了生产日益复杂的产品,无论是物质的、智力的还是人工制品,以及艺术品,因为人类构建生产系统或结构的能力是与生俱来的。有组织的方法来理解结构或系统的运作,只有在第二次世界大战期间和之后才被尝试过,当时控制理论得到了发展,随后是冯·贝尔塔朗菲从20世纪50年代开始发起的更“一般系统思维”。这些方法虽然鼓舞人心,具有开创性,但缺乏结构性世界观的基础,支离破碎,主要是投机性的,在帮助解决问题或设计思维方面做了肤浅的努力,不适合公认的知识和教学计划的分支。本研究的目的是利用具有“系统内容”的传统科学方法来解决这些问题。该研究为解决系统问题提供了一个解决问题的一般结构,可以通过“语言建模”的象征主义以“可测试的”、可操作的形式表达。建议的标准延伸到其他符号以过滤掉那些不满足此条件的符号。当软件可用,得到应用程序的支持并通过辩论的测试时,语言建模的象征主义是适用于计算的。
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