Mathematical modeling using dynamical systems and partial differential equations is now
playing an increasing role in the understanding of complex multi-scale phenomena …

Using tools from mathematical kinetic theory and stochastic game theory, this work deals
with the modeling of large complex systems in the applied sciences, particularly those …

The description of emerging collective phenomena and self-organization in systems
composed of large numbers of individuals has gained increasing interest from various …

" Highly recommended.... This is an important book in putting the burgeoning field of
sociodynamics on a solid footing."—Journal of Artificial Societies and Social Simulation This …

As in the physical sciences, theoretical modeling in the social sciences typically entails the
specification and analysis of parameterized systems of differential equations. Many critical …

Since the advent of computers, the natural and engineering sciences have enormously
progressed. Computer simulations allow one to understand interactions of physical particles …

A comprehensive introduction to mathematical and agent-based modeling of social behavior
This book provides a unified, theory-driven introduction to key mathematical and agent …

Collective phenomena occur in nature, technology, and social behavior in a vast variety of
contexts. For example, birds and fish use their sensory abilities to communicate and align …

This book is a course in methods and models rooted in physics and used in modelling
economic and social phenomena. It covers the discipline of econophysics, which creates an …

In nature, self-organized systems such as flocks of birds, schools of fish and herds of sheep
have to deal with the presence of external agents such as predators or leaders that modify …