Înregistrare dovezi metodologice

Policy Scenario Agent-Based Modeling

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.

Sources recorded, not reviewed

Înregistrare sursă

Citările sunt copiate integral din înregistrarea sursă a metodei. Nu se inferă nicio verificare la nivel de afirmație din acestea.

Policy Scenario Agent-Based Modeling — Comparative policy evaluation using agent-based simulation

Înregistrare metodologică taxonomică · process-pipeline / simulation

Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press. · ISBN 9780691015675
Bonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences, 99(S3), 7280-7287. · DOI 10.1073/pnas.082080899

Deschide metoda completă

Afirmații curate

Afirmațiile sunt stocate în registrul dovezilor, fiecare cu propria evaluare.

Încă nu există afirmații curate

Această vizualizare nu inventează o evaluare a afirmației dacă registrul nu conține una.

Metode conexe

Generate din graful metodelor și afișate ca relații sugerate automat — nu se inferă nicio afirmație de dovadă.

Same method familyAgent-Based Modelingmachine-suggested · Relational suggestion, not evidence.See alsoMONTE-CARLO-SIMULATIONmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPolicy Scenario Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPolicy Scenario System Dynamicsmachine-suggested · Relational suggestion, not evidence.Same method familySystem Dynamicsmachine-suggested · Relational suggestion, not evidence.