Modelling Complex Systems by Integration of Agent-Based and Dynamical Systems Models

Abstract

Existing models for complex systems are often based on quantitative,numerical methods such as Dynamical Systems Theory (DST) [Port andGelder 1995]. Such approaches often use numerical variables to describeglobal aspects and specify how they affect each other over time.An advantage of such approaches is that numerical approximation methodsand software are available for simulation.