LEADER 05417nam 22007215 450 001 9910412152703321 005 20200730113829.0 010 $a1-0716-0421-X 024 7 $a10.1007/978-1-0716-0421-2 035 $a(CKB)4100000011363843 035 $a(DE-He213)978-1-0716-0421-2 035 $a(MiAaPQ)EBC6273881 035 $a(Au-PeEL)EBL6273881 035 $a(OCoLC)1182514794 035 $a(PPN)260833304 035 $a(EXLCZ)994100000011363843 100 $a20200730d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSynergetics$b[electronic resource] /$fedited by Axel Hutt, Hermann Haken 205 $a1st ed. 2020. 210 1$aNew York, NY :$cSpringer US :$cImprint: Springer,$d2020. 215 $a1 online resource (223 illus., 95 illus. in color. eReference.) 225 1 $aEncyclopedia of Complexity and Systems Science Series 311 $a1-0716-0420-1 327 $aBrain Pacemaker -- Fluid Dynamics, Pattern Formation -- Fluid Dynamics, Turbulence -- Intentionality: A Naturalization Proposal on the Basis of Complex Dynamical Systems -- Linear and Non-linear Fokker-Planck Equations -- Movement Coordination -- Patterns and Interfaces in Dissipative Dynamics -- Self-Organization and the City -- Self-Organization in Clinical Psychology -- Synergetics, Introduction to -- Synergetics: Basic Concepts. . 330 $aThis volume of the ?Encyclopedia of Complexity and Systems Science, Second Edition? (ECSS), introduces the fundamental physical and mathematical concepts underlying the theory of complex physical, chemical, and biological systems. Numerous applications illustrate how these concepts explain observed phenomena in our daily lives, which range from spatio-temporal patterns in fluids from atmospheric turbulence in hurricanes and tornadoes to feedback dynamics of laser intensity to structures in cities and rhythms in the brain. The spontaneous formation of well-organized structures out of microscopic system components and their interactions is one of the most fascinating and challenging phenomena for scientists to understand. Biological systems may also exhibit organized structures emanating from interactions of cells and their networks. For instance, underlying structures in the brain emerge as certain mental states, the ability to coordinate movement, or pathologies such as tremor or epileptic seizures. When we try to explain or understand these extremely complex biological phenomena, it is natural to ask whether analogous processes of self-organization may be found in much simpler systems of the inanimate world. In recent decades, it has become increasingly evident that there exist numerous examples in physical and chemical systems in which well-organized spatio-temporal structures arise out of disordered states. As in living organisms, the functioning of these systems can be maintained only by a flux of energy (and matter) through them. Synergetics combines elements from physics and mathematics to explain how a diversity of systems obey the same basic principles. All chapters in this volume have been thoroughly revised and updated from the first edition of ECSS. The second edition also includes new or expanded coverage of such topics as chaotic dynamics in laser systems and neurons, novel insights into the relation of classical chaos and quantum dynamics, and how noise in the brain tunes observed neural activity and controls animal and human behavior. . 410 0$aEncyclopedia of Complexity and Systems Science Series 606 $aStatistical physics 606 $aNeural networks (Computer science)  606 $aComputational complexity 606 $aSystems biology 606 $aSystem theory 606 $aApplications of Nonlinear Dynamics and Chaos Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/P33020 606 $aMathematical Models of Cognitive Processes and Neural Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/M13100 606 $aComplexity$3https://scigraph.springernature.com/ontologies/product-market-codes/T11022 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 606 $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/M13090 615 0$aStatistical physics. 615 0$aNeural networks (Computer science) . 615 0$aComputational complexity. 615 0$aSystems biology. 615 0$aSystem theory. 615 14$aApplications of Nonlinear Dynamics and Chaos Theory. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 615 24$aComplexity. 615 24$aSystems Biology. 615 24$aStatistical Physics and Dynamical Systems. 615 24$aComplex Systems. 676 $a621 702 $aHutt$b Axel$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHaken$b Hermann$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910412152703321 996 $aSynergetics$91886250 997 $aUNINA