Simulation Validation - a Confidence Assessment Methodology
Simulation Validation - a Confidence Assessment Methodology
Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide
Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation
Computational Laboratories for Organization Science: Questions, Validity and Docking
Computational & Mathematical Organization Theory
Conceptual modeling for simulation: issues and research requirements
Proceedings of the 38th conference on Winter simulation
Verification and validation of simulation models
Proceedings of the Winter Simulation Conference
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The use of agent-based simulations ABS in social science applications presents validation challenges. In this study, the authors use two theories for the growth of rebellion, one an ABS and the other implemented as a system of ordinary differential equations ODEs. Epstein's 2001 theory for the rise of rebellion serves as one conceptual model. The authors implement this theory in NetLogo, with several modifications. The second conceptual model likens the spread of an insurgency to that of an infectious disease, specifically the susceptible-infected-removed-susceptible SIRS model. The authors find that the similarity of the ODE model results to those obtained from certain parameters of the ABS implementation serves as a form of model validation. The term used for this type of validation is docking. In addition, other results obtained from the ABS-not directly attainable from the ODE model but which match observed phenomenon in socio-political systems-also demonstrates operational validity.