Modeling Dynamic Biological Systems

Models help us understand the nonlinear dynamics of real-world processes by using the computer to mimic the actual forces that are known or assumed to result in a system's behavior.

The complexity of biological systems, from cells to ecosystems, are particularly well suited to this method because the feedback processes governing them have made it difficult to identify natural laws describing their behavior.

This book does not require a substantial background in mathematics or computer science and encourages all students and scholars to actively incorporate modeling into their education and research.

The book includes sections on physical and biochemical processes, genetics, single- and multiple-population dynamics, and catastrophe and self-organization.

About the Series: The availability of powerful, intuitive software for developing and running simulation models of real-world phenomena promises a revolution in studying, teaching, and thinking about complex problems that range from the functioning of a cell to the functioning of an ecosystem to the functioning of a national economy.

The books in the series Modeling Dynamic Systems will promote the spread of "systems thinking" by integrating state-of-the-art modeling techniques with the theories and concepts of specific disciplines or interdisciplinary topics.

The unifying theme of the series is the ease, power, and transparency of model-building.