ScholarGate
Assistant

Comparer des méthodes

Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.

Modélisation Robuste Basée sur les Agents×Analyse de sensibilité×
DomaineSimulationPrise de décision
FamilleProcess / pipelineMCDM
Année d'origine2000s2004
Auteur d'origineLigmann-Zielinska, A.; Railsback, S. F.; Grimm, V.Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M.
TypeSimulation robustness frameworkRobustness wrapper — parameter / weight perturbation sensitivity indices
Source fondatriceLigmann-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
Apparentées50
RésuméRobust 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.
ScholarGateJeu de données
  1. v1
  2. 2 Sources
  3. PUBLISHED
  1. v1
  2. 1 Sources
  3. PUBLISHED

Aller à la recherche Télécharger les diapositives

ScholarGateComparer des méthodes: Robust Agent-Based Modeling · SENSITIVITY-ANALYSIS. Consulté le 2026-06-15 sur https://scholargate.app/fr/compare