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008			220309s2022 sz | s |||| 0|eng d
020			_a9783030934828
024	7		_a10.1007/978-3-030-93482-8 _2doi
040			_aTR-AnTOB _beng _cTR-AnTOB _erda
041			_aeng
050		4	_aQ295
072		7	_aGPFC _2bicssc
072		7	_aGPFC _2bicssc
072		7	_aSCI055000 _2bisacsh
072		7	_aGPFC _2thema
072		7	_aGPFC _2thema
090			_aQ295EBK
100	1		_aMobus, George E. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aSystems Science: Theory, Analysis, Modeling, and Design _h[electronic resource] / _cby George E. Mobus.
250			_a1st ed. 2022.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aPart 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			_aThis 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	_aSystem theory.
650		0	_aDynamics.
650		0	_aNonlinear theories.
650		0	_aEnvironmental management.
650		0	_aEnvironmental economics.
650		0	_aMathematical physics.
650	1	4	_aComplex Systems.
650	2	4	_aApplied Dynamical Systems.
650	2	4	_aEnvironmental Management.
650	2	4	_aComplex Systems.
650	2	4	_aEnvironmental Economics.
650	2	4	_aTheoretical, Mathematical and Computational Physics.
710	2		_aSpringerLink (Online service)
856	4	0	_uhttps://doi.org/10.1007/978-3-030-93482-8 _3Springer eBooks _zOnline access link to the resource
942			_2lcc _cEBK