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Modelado Robusto Basado en Agentes×Análisis de Sensibilidad×
CampoSimulaciónToma de decisiones
FamiliaProcess / pipelineMCDM
Año de origen2000s2004
Autor originalLigmann-Zielinska, A.; Railsback, S. F.; Grimm, V.Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M.
TipoSimulation robustness frameworkRobustness wrapper — parameter / weight perturbation sensitivity indices
Fuente seminalLigmann-Zielinska, A., Cheetham, W. (2006). Spatially-explicit sensitivity analysis of an agent-based model of land use change. International Journal of Geographical Information Science, 20(12), 1355-1377. link ↗Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. (2004). Sensitivity Analysis in Practice. Wiley, Chichester DOI ↗
AliasRobust ABM, ABM Robustness Analysis, Uncertainty-Aware ABM, Robust Multi-Agent Simulation
Relacionados50
ResumenRobust Agent-Based Modeling (Robust ABM) integrates systematic uncertainty quantification and sensitivity analysis into agent-based simulation workflows. Rather than relying on a single parameter configuration, it explores the full parameter space to identify which inputs drive model outcomes, ensuring that conclusions hold across plausible input ranges and model structures.SENSITIVITY-ANALYSIS (Sensitivity Analysis — Systematic assessment of output variation w.r.t. input perturbations) is a ranking multi-criteria decision-making (MCDM) method introduced by Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. in 2004. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateComparar métodos: Robust Agent-Based Modeling · SENSITIVITY-ANALYSIS. Recuperado el 2026-06-15 de https://scholargate.app/es/compare