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Systems sciencetheory, analysis, modeling, and design /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Systems scienceby George E. Mobus.
其他題名:	theory, analysis, modeling, and design /
作者:	Mobus, George E.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xxi, 814 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	System theory.
電子資源:	https://doi.org/10.1007/978-3-030-93482-8
ISBN:	9783030934828$q(electronic bk.)

Systems sciencetheory, analysis, modeling, and design /
Mobus, George E.

Systems sciencetheory, analysis, modeling, and design /[electronic resource] :by George E. Mobus. - Cham :Springer International Publishing :2022. - xxi, 814 p. :ill., digital ;24 cm.

Part I. Foundations of Systems Understanding -- Principles of Systems Science -- System Ontology -- System Language -- Fundamentals of Systems Analysis & Design -- Part II. Analysis of Systems -- The Process of Systems Analysis -- Demonstrating the Analysis of Various Kinds of Systems: How the Ontology is Universal -- Examining the Knowledgebase -- Detailed Analysis for Understanding - A Look at a Biophysical Economics System -- Part III. Modelling of a Complex System -- Generating Models from the Knowledgebase -- Testing and Verifying Models and the Knowledgebase -- Part 4. Design for Free -- Governance Systems -- Model Scenarios and the Construction of Policies -- Design Specification.

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.

ISBN: 9783030934828$q(electronic bk.)

Standard No.: 10.1007/978-3-030-93482-8doiSubjects--Topical Terms:

183989
System theory.

LC Class. No.: Q295 / .M63 2022

Dewey Class. No.: 003

Systems sciencetheory, analysis, modeling, and design /
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505 0 $a Part I. Foundations of Systems Understanding -- Principles of Systems Science -- System Ontology -- System Language -- Fundamentals of Systems Analysis & Design -- Part II. Analysis of Systems -- The Process of Systems Analysis -- Demonstrating the Analysis of Various Kinds of Systems: How the Ontology is Universal -- Examining the Knowledgebase -- Detailed Analysis for Understanding - A Look at a Biophysical Economics System -- Part III. Modelling of a Complex System -- Generating Models from the Knowledgebase -- Testing and Verifying Models and the Knowledgebase -- Part 4. Design for Free -- Governance Systems -- Model Scenarios and the Construction of Policies -- Design Specification.
520 $a 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.
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