dc.contributor.author
Broeke, Guus ten
dc.contributor.author
Voorn, George van
dc.contributor.author
Ligtenberg, Arend
dc.identifier
https://ddd.uab.cat/record/128521
dc.identifier
urn:oai:ddd.uab.cat:128521
dc.description.abstract
Methodologies for sensitivity analysis are considered to be of great importance for analyzing agent-based models (ABMs), even more because calibration and validation of ABMs often prove problematic. Different methodologies for sensitivity analysis may help to understand ABM dynamics and (thus) aid in the calibration and validation of ABMs. However, model complexity of ABMs is a significant hinderance for a detailed research on which (combination of) sensitivity analysis methods may provide the best option. We present here an agent-based model of low complexity to be used as test case for different methodologies of sensitivity analysis.
dc.format
application/pdf
dc.relation
Social Simulation Conference ; 1a : 2014
dc.rights
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
dc.rights
https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject
Agent-based models
dc.subject
Sensitivity analysis
dc.subject
Computational social science
dc.subject
Social simulation
dc.title
Sensitivity analysis for agent-based models : a low complexity test-case
dc.type
Comunicació de congrés
