International Journal of General Systems
Reconstructability analysis, Machine learning, Agent-based simulation, Information theory, Sensitivity analysis, Wealth distribution model
Reconstructability analysis, a methodology based on information theory and graph theory, was used to perform a sensitivity analysis of an agent-based model. The NetLogo BehaviorSpace tool was employed to do a full 2k factorial parameter sweep on Uri Wilensky’s Wealth Distribution NetLogo model, to which a Gini-coefficient convergence condition was added. The analysis identified the most influential predictors (parameters and their interactions) of the Gini coefficient wealth inequality outcome. Implications of this type of analysis for building and testing agent-based simulation models are discussed.
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Published as: Andey M. Nunes , Martin Zwick & Wayne Wakeland (2021): Sensitivity analysis of an agent-based simulation model using reconstructability analysis, International Journal of General Systems.