tailieunhanh - Modeling Multi-Level Systems

Modeling multi-level complex systems is the object of this book. Complex systems are assemblies of several subsystems and are characterized by emergent behavior resulting by nonlinear interactions among subsystems for multiple levels of organization. The complexity of numerous systems is rooted in the existence of many levels of self-organization corresponding to different time and space scales. There is a need to provide general frameworks able to combine several scales and reality levels of the complex systems in one coherent and transdisciplinary discourse. A challenge for complex systems science and technology is to develop mathematical formalisms and modeling methods able to. | UNDERSTANDING Springer COMPLEX SYSTEMS CdMPLEXlTY Octavian lordache Modeling Multi-Level Systems springer Springer Complexity Springer Complexity is an interdisciplinary program publishing the best research and academic-level teaching on both fundamental and applied aspects of complex systems - cutting across all traditional disciplines of the natural and life sciences engineering economics medicine neuroscience social and computer science. Complex Systems are systems that comprise many interacting parts with the ability to generate a new quality of macroscopic collective behavior the manifestations of which are the spontaneous formation of distinctive temporal spatial or functional structures. Models of such systems can be successfully mapped onto quite diverse real-life situations likethe climate the coherent emission oflightfromlasers chemical reaction-diffusion systems biological cellular networks the dynamics of stock markets and of the internet earthquake statistics and prediction freeway traffic the human brain or the formation of opinions in social systems to name just some of the popular applications. Although their scope and methodologies overlap somewhat one can distinguish the following main concepts and tools self-organization nonlinear dynamics synergetics turbulence dynamical systems catastrophes instabilities stochastic processes chaos graphs and networks cellular automata adaptive systems genetic algorithms and computational intelligence. The two major book publication platforms of the Springer Complexity program are the monograph series Understanding Complex Systems focusing on the various applications of complexity and the Springer Series in Synergetics which is devoted to the quantitative theoretical and methodological foundations. In addition to the books in these two core series the program also incorporates individual titles ranging from textbooks to major reference works. Editorial and Programme Advisory Board Dan Braha New England Complex .