This report provides a brief overview of the most popular modelling techniques used to analyse complex real-world problems, as well as some less popular but highly relevant techniques. The modelling methods are divided into three categories, with each encompassing a number of methods, as follows:
- Qualitative Aggregate Models (Soft Systems Methodology, Concept Maps and Mind Mapping, Scenario Planning, Causal (Loop) Diagrams),
- Quantitative Aggregate Models (Function fitting and Regression, Bayesian Nets, System of differential equations / Dynamical systems, System Dynamics, Evolutionary Algorithms) and
- Individual Oriented Models (Cellular Automata, Microsimulation, Agent Based Models, Discrete Event Simulation, Social Network Analysis).
Each technique is broadly described with example uses, key attributes and reference material.
Reference: Badham, J. (2010). A compendium of modelling techniques. Integration Insights #12, May.
Full text online at: http://i2s.anu.edu.au/sites/default/files/resources/integration-insight_12.pdf (859KB PDF)
Posted: December 2011
Last modified: August 2014