This is is a computational approach to analyze complex systems in many disciplines, including ecology, geography, economics, and systems biology. The aim of agent-based models (ABMs) is to model the essential traits and behaviors of adaptive agents (plants, animals, humans, institutions) and to investigate individual- and system-level properties that emerge as the agents interact with each other and their environment. Individual behavior and system-level patterns are mutually dependent and ABMs are a powerful tool for understanding this relationship.
Deadline for applications: 19th Feb 2016!!