東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Systems science = theory, analysis, ...

Mobus, George E.

FindBook

Google Book

Amazon

博客來

Systems science = theory, analysis, modeling, and design /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Systems science/ by 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.
內容註:	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.
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

Systems science = theory, 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

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

525574
System theory.

LC Class. No.: Q295 / .M63 2022

Dewey Class. No.: 003

Systems science = theory, analysis, modeling, and design /
LDR:03346nmm a2200349 a 4500 001 2298787
003 DE-He213
005 20220309123312.0
006 m d
007 cr nn 008maaau
008 230324s2022 sz s 0 eng d
020 $a 9783030934828 $q (electronic bk.)
020 $a 9783030934811 $q (paper)
024 7 $a 10.1007/978-3-030-93482-8 $2 doi
035 $a 978-3-030-93482-8
040 $a GP $c GP
041 0 $a eng
050 4 $a Q295 $b .M63 2022
072 7 $a GPFC $2 bicssc
072 7 $a GPFC $2 bicssc
072 7 $a SCI055000 $2 bisacsh
072 7 $a GPFC $2 thema
072 7 $a GPFC $2 thema
082 0 4 $a 003 $2 23
090 $a Q295 $b .M687 2022
100 1 $a Mobus, George E. $3 2132462
245 1 0 $a Systems science $h [electronic resource] : $b theory, analysis, modeling, and design / $c by George E. Mobus.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xxi, 814 p. : $b ill., digital ; $c 24 cm.
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.
650 0 $a System theory. $3 525574
650 1 4 $a Complex Systems. $3 1566441
650 2 4 $a Applied Dynamical Systems. $3 3538870
650 2 4 $a Environmental Management. $3 893809
650 2 4 $a Environmental Economics. $3 895247
650 2 4 $a Theoretical, Mathematical and Computational Physics. $3 1066859
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-93482-8
950 $a Engineering (SpringerNature-11647)