| 书目名称 | Systems Science: Theory, Analysis, Modeling, and Design | | 编辑 | George E. Mobus | | 视频video | | | 概述 | Provides principled explanations of the process for gaining understanding of complex systems.Focuses on design principles for engineers and others as well as the analysis of extant systems.Covers meth | | 图书封面 |  | | 描述 | This book describes a comprehensive approach to applying systems science formally to the deep analysis of a wide variety of complex systems. Detailed ‘how-to’ examples of the three phases (analysis-modeling-design) of systems science are applied to systems of various types (machines, organic (e.g. ecosystem), and supra-organic (e.g. business organizations and government). The complexity of the global system has reached proportions that seriously challenge our abilities to understand the consequences of our use of technology, modification of natural ecosystems, or even how to govern ourselves. For this reason, complex mathematics is eschewed when simpler structures will suffice, allowing the widest possible audience to apply and benefit from the available tools and concepts of systems science in their own work. The book shows, in detail, how to functionally and structurally deconstruct complex systems using a fundamental language of systems. It shows how to capture the discovered details in a structured knowledge base from which abstract models can be derived for simulation. The knowledge base is also shown to be a basis for generating system design specifications for human-built ar | | 出版日期 | Book 2022 | | 关键词 | deep analysis of complex systems; mathematical methods in systems science; systems design; complex adap | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-93482-8 | | isbn_softcover | 978-3-030-93484-2 | | isbn_ebook | 978-3-030-93482-8 | | copyright | Springer Nature Switzerland AG 2022 |
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发表于 2025-3-21 16:28:44
