Systems Science: Theory, Analysis, Modeling, and Design
暫譯: 系統科學：理論、分析、建模與設計

Mobus, George E.

Systems Science: Theory, Analysis, Modeling, and Design
  • 出版商: Springer
  • 出版日期: 2023-03-11
  • 售價: $4,310
  • 貴賓價: 9.5 折 $4,095
  • 語言: 英文
  • 頁數: 814
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030934845
  • ISBN-13: 9783030934842

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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 artifacts, or policy recommendations/policy mechanisms for socio-economic-ecological systems management. The book builds on principles and methods found in the authors' textbook Principles of Systems Science (co-authored with Michael Kalton), but without prerequisites. It will appeal to a broad audience that deals with complex systems every day, from design engineers to economic and ecological systems managers and policymakers.

商品描述(中文翻譯)

本書描述了一種全面的方法，將系統科學正式應用於對各種複雜系統的深入分析。詳細的「如何做」範例涵蓋了系統科學的三個階段（分析-建模-設計），並應用於各類型的系統（機器、有機系統（例如生態系統）和超有機系統（例如商業組織和政府））。全球系統的複雜性已達到嚴重挑戰我們理解技術使用後果、自然生態系統的改變，甚至如何自我治理的程度。因此，當較簡單的結構足以應對時，複雜的數學被避免，這使得最廣泛的受眾能夠在自己的工作中應用並受益於系統科學的可用工具和概念。本書詳細展示了如何使用系統的基本語言功能性和結構性地解構複雜系統。它展示了如何將發現的細節捕捉到結構化的知識庫中，從中可以推導出用於模擬的抽象模型。知識庫也被展示為生成針對人造工藝的系統設計規範，或針對社會經濟生態系統管理的政策建議/政策機制的基礎。本書基於作者的教科書《系統科學原則》（與Michael Kalton共同撰寫）的原則和方法，但不需要先修課程。它將吸引廣泛的受眾，從設計工程師到經濟和生態系統管理者及政策制定者，每天都在處理複雜系統。

作者簡介

George E. Mobus is Associate Professor Emeritus of Computer Science & Systems and Computer Engineering & Systems in the School of Engineering and Technology at the University of Washington Tacoma. He received his PhD in computer science from the University of North Texas in 1994. His dissertation, and subsequent research program at Western Washington University (under National Science Foundation Grant No. IIS-9907102), involved developing autonomous robot agents by emulating natural intelligence as opposed to using some form of artificial intelligence. Mobus was awarded US Patent: #5,504,839, "Processor and Processing Element for Use in a Neural Network". He also received an MBA from San Diego State University in 1983, doing a thesis on the modeling of decision support systems based on the hierarchical cybernetic principles presented in this volume and in numerous papers. His baccalaureate degree was earned at the University of Washington (Seattle) in 1973, in zoology. He studied the energetics of living systems and the interplay between information, evolution, and complexity.

Before completing his academic pursuits of a Ph.D., he had risen through the ranks of a small controls engineering company in Southern California, from software engineer to the top spot. The credit for success goes to the education he got in systems sciences during his MBA program and helping reshape many of the internals of the company that improved profitability and work conditions.


作者簡介(中文翻譯)

喬治·E·莫布斯是華盛頓大學塔科馬分校工程與技術學院計算機科學與系統及計算機工程與系統的名譽副教授。他於1994年在北德克薩斯大學獲得計算機科學博士學位。他的論文及隨後在西華盛頓大學的研究計畫（根據國家科學基金會贈款編號 IIS-9907102）涉及通過模擬自然智能來開發自主機器人代理，而不是使用某種形式的人工智能。莫布斯獲得了美國專利：#5,504,839，'用於神經網絡的處理器和處理元件'。他於1983年在聖地牙哥州立大學獲得MBA學位，論文主題為基於本卷及多篇論文中提出的分層控制論原則的決策支持系統建模。他於1973年在華盛頓大學（西雅圖）獲得學士學位，主修動物學。他研究了生物系統的能量學以及信息、演化和複雜性之間的相互作用。

在完成博士學位的學術追求之前，他在南加州的一家小型控制工程公司中從軟體工程師晉升至最高職位。成功的功勞歸功於他在MBA課程中所獲得的系統科學教育，並幫助重塑了公司內部的許多結構，改善了盈利能力和工作條件。

類似商品

最後瀏覽商品 (1)