ABSTRACT

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 2^k 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.

中文翻译：

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基于可重构性分析的基于主体的仿真模型的敏感性分析

摘要

可重构性分析是一种基于信息论和图论的方法，用于对基于主体的模型进行敏感性分析。使用NetLogo BehaviorSpace工具对Uri Wilensky的财富分配NetLogo模型进行了完整的2 ^k阶乘参数扫描，并在其中添加了基尼系数收敛条件。该分析确定了基尼系数财富不平等结果中最具影响力的预测因素（参数及其相互作用）。讨论了这种类型的分析对于构建和测试基于代理的仿真模型的影响。