Modelling of Complex Systems
Module code: NT4002
This module introduces the ideas of Complex Systems through the use of NetLogo programming of Agent-Based Models (ABM).
A complex system is one in which simple rules for the interaction of the agents leads to emergent behaviour, that is, collective behaviour of the system as a whole which is not attributable to individual agents separately. Agent-Based Modelling is an increasingly important approach to modelling physical, biological, social and economic systems allowing a heterogeneous collection of objects (agents) to interact in an adaptive manner.
- The role of agent based models (ABM) as applied to complex systems
- Examples of ABMs
- Cellular automata, the Wolfram classes and the rulles for the Game of Life
- Agents, emergence, phases, control and order parameters
- Small world networks, random networks and scale free networks
- The differences between various networks
- The prevalence of power law distributions in complex systems
- The Isling model
- The Landau theory