LEADER 06258nam 22008655 450 001 9910300430403321 005 20200704150956.0 010 $a1-4939-1920-2 024 7 $a10.1007/978-1-4939-1920-8 035 $a(CKB)3710000000306070 035 $a(SSID)ssj0001386710 035 $a(PQKBManifestationID)11771551 035 $a(PQKBTitleCode)TC0001386710 035 $a(PQKBWorkID)11374461 035 $a(PQKB)10028024 035 $a(DE-He213)978-1-4939-1920-8 035 $a(MiAaPQ)EBC6311435 035 $a(MiAaPQ)EBC5576246 035 $a(Au-PeEL)EBL5576246 035 $a(OCoLC)899567001 035 $a(PPN)183096770 035 $a(EXLCZ)993710000000306070 100 $a20141110d2015 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aPrinciples of Systems Science /$fby George E. Mobus, Michael C. Kalton 205 $a1st ed. 2015. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2015. 215 $a1 online resource (XXXVI, 755 p. 199 illus., 163 illus. in color.) 225 1 $aUnderstanding Complex Systems,$x1860-0832 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a1-4939-1919-9 320 $aIncludes bibliographical references and index. 327 $aPart I: Introduction to Systems Science -- A Helicopter View -- Systems Principles in the Real World: Understanding Drug Resistant TB -- Part II: Structural and Functional Aspects -- Organized Wholes -- Networks: Connections Within and Without -- Complexity -- Behavior: System Dynamics -- Part III: The Intangible Aspects of Organization: Maintaining and Adapting -- Information, Meaning, Knowledge, and Communications -- Computational Systems -- Cybernetics: The Role of Information and Computation in Systems -- Part IV: Evolution -- Auto-Organization and Emergence -- Evolution -- Part V: Methodological Aspects -- Systems Analysis -- Systems Modeling -- Systems Engineering. 330 $aThis pioneering text provides a comprehensive introduction to systems structure, function, and modeling as applied in all fields of science and engineering. Systems understanding is increasingly recognized as a key to a more holistic education and greater problem solving skills, and is also reflected in the trend toward interdisciplinary approaches to research on complex phenomena. The subject of systems science, as a basis for understanding the components and drivers of phenomena at all scales, should be viewed with the same importance as a traditional liberal arts education. Principles of Systems Science contains many graphs, illustrations, side bars, examples, and problems to enhance understanding. From basic principles of organization, complexity, abstract representations, and behavior (dynamics) to deeper aspects such as the relations between information, knowledge, computation, and system control, to higher order aspects such as auto-organization, emergence and evolution, the book provides an integrated perspective on the comprehensive nature of systems. It ends with practical aspects such as systems analysis, computer modeling, and systems engineering that demonstrate how the knowledge of systems can be used to solve problems in the real world.  Each chapter is broken into parts beginning with qualitative descriptions that stand alone for students who have taken intermediate algebra. The second part  presents quantitative descriptions that are based on pre-calculus and advanced algebra, providing a more formal treatment for students who have the necessary mathematical background. Understanding these basics enables further understanding both of how systems endure and how they may become increasingly complex and exhibit new properties or characteristics. ·         Serves as a textbook for teaching systems fundamentals in any discipline or for use in an introductory course in systems science degree programs ·         Addresses a wide range of audiences with different levels of mathematical sophistication ·         Includes open-ended questions in special boxes intended to stimulate integrated thinking and class discussion ·         Describes numerous examples of systems in science and society ·         Captures the trend towards interdisciplinary research and problem solving. 410 0$aUnderstanding Complex Systems,$x1860-0832 606 $aStatistical physics 606 $aDynamics 606 $aComputational complexity 606 $aEconomic policy 606 $aEconomics 606 $aPhysics 606 $aSystems biology 606 $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P33000 606 $aComplexity$3https://scigraph.springernature.com/ontologies/product-market-codes/T11022 606 $aPolitical Economy/Economic Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/W46000 606 $aApplications of Graph Theory and Complex Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/P33010 606 $aSystems Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/L15010 606 $aStatistical Physics and Dynamical Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P19090 615 0$aStatistical physics. 615 0$aDynamics. 615 0$aComputational complexity. 615 0$aEconomic policy. 615 0$aEconomics. 615 0$aPhysics. 615 0$aSystems biology. 615 14$aComplex Systems. 615 24$aComplexity. 615 24$aPolitical Economy/Economic Systems. 615 24$aApplications of Graph Theory and Complex Networks. 615 24$aSystems Biology. 615 24$aStatistical Physics and Dynamical Systems. 676 $a003 700 $aMobus$b George E$4aut$4http://id.loc.gov/vocabulary/relators/aut$0792854 702 $aKalton$b Michael C$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300430403321 996 $aPrinciples of Systems Science$92533451 997 $aUNINA