Вибір методів валідації для агентних моделей: практичні підходи

Agent-based modeling (ABM) has emerged as a computational approach for studying complex social phenomena, yet validation practices remain inconsistent. This article develops a systematic framework for ABM validation method selection. Through computational analysis of 76 scenarios across model purposes, observability levels, and development stages, we identify three validation method categories: universal (visualization, expert review, structural checks), context-dependent (varying with data availability), and specialized (requiring specific conditions). We demonstrate how system observability and the development stage fundamentally constrain validation approaches. Application to Adam and Gaudou’s bushfire evacuation model illustrates the framework’s utility. Our findings show that effective validation of an agentbased model requires systematic contextual assessment, providing researchers with tools for better ABM validation decisions.