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Titlebook: Dealing with Complexity; An Introduction to t Robert L. Flood,Ewart R. Carson Book 1993Latest edition Springer Science+Business Media New Y

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发表于 2025-3-21 17:53:49 | 显示全部楼层 |阅读模式
书目名称Dealing with Complexity
副标题An Introduction to t
编辑Robert L. Flood,Ewart R. Carson
视频video
图书封面Titlebook: Dealing with Complexity; An Introduction to t Robert L. Flood,Ewart R. Carson Book 1993Latest edition Springer Science+Business Media New Y
描述Contents 11. 2. 2. Four Main Areas of Dispute 247 11. 2. 3. Summary . . . 248 11. 3. Making Sense of the Issues . . 248 11. 3. 1. Introduction . . . . 248 11. 3. 2. The Scientific Approach 248 11. 3. 3. Science and Matters of Society . 249 11. 3. 4. Summary . 251 11. 4. Tying It All Together . . . . 251 11. 4. 1. Introduction . . . . 251 11. 4. 2. A Unifying Framework 251 11. 4. 3. Critical Systems Thinking 253 11. 4. 4. Summary 254 11. 5. Conclusion 254 Questions . . . 255 REFERENCES . . . . . . . . . . . . . . . . . . . 257 INDEX . . . . . . . . . . . . . . . . . . . . . . 267 Chapter One SYSTEMS Origin and Evolution, Terms and Concepts 1. 1. INTRODUCTION We start this book with Theme A (see Figure P. I in the Preface), which aims to develop an essential and fundamental understanding of systems science. So, what is systems science? When asked to explain what systems science is all about, many systems scientists are confronted with a rather daunting task. The discipline tends to be presented and understood in a fragmented way and very few people hold an overview understanding of the subject matter, while also having sufficient in-depth competence in many and broad-ranging subject
出版日期Book 1993Latest edition
关键词Cybernetics; System; Viable System Model; model; modeling; ontology; organization; system identification; sy
版次2
doihttps://doi.org/10.1007/978-1-4757-2235-2
isbn_softcover978-1-4419-3227-3
isbn_ebook978-1-4757-2235-2
copyrightSpringer Science+Business Media New York 1993
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发表于 2025-3-21 23:38:57 | 显示全部楼层
Book 1993Latest editiont, many systems scientists are confronted with a rather daunting task. The discipline tends to be presented and understood in a fragmented way and very few people hold an overview understanding of the subject matter, while also having sufficient in-depth competence in many and broad-ranging subject
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Using GPT-4 to Generate Failure Logic roots and will provide a framework that sweeps away the old quibbles. We will show systems science as a whole, and make it ready to contribute more effectively to other disciplines and real world application.
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https://doi.org/10.1007/978-3-031-71115-2now ready to start the second phase of the introduction by again posing the question: What is systems science all about? As the title of this book suggests, systems science is about “dealing with complexity.” But “complexity has many possible meanings” (Klir, 1985b). So where do we go from here?
发表于 2025-3-22 17:23:05 | 显示全部楼层
Paweł Marczak,Mirosław Omieljanowicz introductory material provided by Theme A before we can move on to the remaining themes, Theme B on systems in the natural sciences and Theme C on systems in the social sciences. Measurement is the subject matter that does the completion job.
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https://doi.org/10.1007/978-3-031-71115-2ems science can do for us. Theme B concentrates mainly on modeling and, for our purposes, the role that it plays mainly in the natural sciences. Modeling is about “system identification.” Diagrams are a powerful qualitative approach to modeling and mark our first real look at the practical worth of systems ideas.
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