Modeling complex systems

The interest in complex systems, i.e. systems consisting of large numbers of simple components with nonlinear interactions, has been increasing rapidly in recent years because of advances in the theory of nonlinear dynamics, the growth of computer simulation power, and the realization of the ubiquity of such systems in natural and social settings.

The area of complex systems modeling by its nature spans many disciplines, with solid analytical roots in mathematics and (statistical) physics, and both applications and fundamental modeling ideas stemming from, e.g., ecology, population genetics, and economics. The field also has a strong computer science component, having largely been made possible by the huge increase in numerical simulation capabilities, and conversely contributing novel approaches to the solution of difficult computational problems.

Watch Out for your latest news letter item on an introduction to the wonderful world of Complex Systems.