방법 비교

	Policy Scenario Agent-Based Modeling	정책 시나리오 시스템 다이내믹스
분야	시뮬레이션	시뮬레이션
계열	Process / pipeline	Process / pipeline
기원 연도	1990s–2000s	1960s–1990s
창시자	Axelrod, R. and colleagues in computational social science	Forrester, J. W. (system dynamics); scenario integration formalized by Sterman and others
유형	Simulation-based policy comparison	Simulation-based policy analysis
원전	Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press. ISBN: 9780691015675	Sterman, J. D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. McGraw-Hill. ISBN: 9780072389159
별칭	Policy ABM, Policy Scenario ABM, Scenario-Based ABM, PS-ABM	PSSD, Policy SD Simulation, Scenario-Based System Dynamics, Policy Systems Modeling
관련	5	5
요약	Policy Scenario Agent-Based Modeling (PS-ABM) is a simulation method that uses agent-based models to evaluate and compare multiple policy scenarios. Heterogeneous autonomous agents interact under different policy regimes, and emergent system-level outcomes are compared across scenarios to inform evidence-based policy decisions. It is widely used in public health, urban planning, economics, and social policy research.	Policy Scenario System Dynamics combines system dynamics modeling with structured scenario analysis to evaluate how different policy interventions affect complex, feedback-driven systems over time. By running multiple policy scenarios through a calibrated stock-and-flow model, analysts can compare long-run outcomes, identify leverage points, and anticipate unintended consequences before real-world implementation.