Interdisciplinary approaches to nonlinear complex systems
A common ground for discourse between biology, psychology, cognitive science, ecology, economics and sociology is provided by the fact that each of them deals with developing complex systems. This book is the result of a joint effort to elucidate basic similarities between these scientific disciplines, with emphasis on the application of general concepts of synergetics and of special nonlinear mathematical models of self-organization and coherent cooperative behavior.
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Philosophical Foundations of Nonlinear Complex Systems
On the Application of Synergetics to Social Systems
7 other sections not shown
activity analysis assumed attractor behaviour average axonic Babloyantz behavior Bemhard biological brain cells chaos chaotic chaotic attractor chemical cognitive coherent collective action communication concept control parameters cooperation correlation dimension correlation integrals critical cycles defection described dieback dimension distribution diversity dynamics ecological economic elements emergence energy and matter entropy equations equilibrium erythrocyte evolution example factors field flow fluctuations fluid function global gradients Haken human increase individual instability interaction Kriz learning linear macroscopic mechanisms mediator microvascular Mikhailov movement Nash equilibria neural network neurons Nonlinear Complex Systems observed operation optimal order formation order parameters organization pattern formation phase transition phenomena physiological population possible potential problem production prototype patterns random receptors scale self-organization senescence Series in Synergetics shear shear stresses shows social systems society space spatial stable Stadler strategy structure subsystems Synergetics theory tree values variables