Springer Complexity Springer Complexity is a publication program, cutting across all traditional dis- ciplines of sciences as well as engineering, economics, medicine, psychology and computer sciences, which is aimed at researchers, students and practitioners work- ing in the field of complex systems. Complex Systems are systems that comprise many interacting parts with the ability to generate a new quality of macroscopic collective behavior through self-organization, e.g., the spontaneous formation of temporal, spatial or functional structures. This recognition, that the collective be- havior of the whole system cannot be simply inferred from the understanding of the behavior of the individual components, has led to various new concepts and sophisticated tools of complexity. The main concepts and tools – with someti- mes overlapping contents and methodologies – are the theories of self-organiza- tion, complex systems, synergetics, dynamical systems, turbulence, catastrophes, instabilities, nonlinearity, stochastic processes, chaos, neural networks, cellular au- tomata, adaptive systems, and genetic algorithms. The topics treated within Springer Complexity are as diverse as lasers or fluids in physics, machine cutting phenomena of workpieces or electric circuits with feedback in engineering, growth of crystals or pattern formation in chemistry, morphogenesis in biology, brain function in neurology, behavior of stock exchange rates in economics, or the formation of public opinion in sociology. All these see- mingly quite different kinds of structure formation have a number of important features and underlying structures in common. These deep structural similarities can be exploited to transfer analytical methods and understanding from one field to another. The Springer Complexity program therefore seeks to foster cross-fer- tilization between the disciplines and a dialogue between theoreticians and expe- rimentalists for a deeper understanding of the general structure and behavior of complex systems. The program consists of individual books, books series such as “Springer Se- ries in Synergetics”,“Institute of Nonlinear Science”,“Physics of Neural Networks”, and “Understanding Complex Systems”, as well as various journals.