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008			220309s2022 sz a o |||| 0|eng d
020			_a9783030934828
024	7		_a10.1007/978-3-030-93482-8 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ295 _b2022 EB
100	1		_aMobus, George E. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685434
245	1	0	_aSystems Science : _bTheory, Analysis, Modeling, and Design _cby George E. Mobus
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XXI, 814 páginas) _b174 ilustraciones, 156 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
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.
988			_aSpringer_Engineering_2022
650		7	_2embne _9141328 _aSistemas, Teoría de
776	0	8	_iPrinted edition: _z9783030934811
776	0	8	_iPrinted edition: _z9783030934835
776	0	8	_iPrinted edition: _z9783030934842
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-93482-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b11/2022 _dz _eb _zSI