Published In
International Journal of General Systems
Document Type
Post-Print
Publication Date
12-30-2020
Subjects
Reconstructability analysis, Machine learning, Agent-based simulation, Information theory, Sensitivity analysis, Wealth distribution model
Abstract
Reconstructability analysis, a methodology based on information theory and graph theory, was used to perform a sensitivity analysis of an agent-based model. The NetLogo BehaviorSpace tool was employed to do a full 2k factorial parameter sweep on Uri Wilensky’s Wealth Distribution NetLogo model, to which a Gini-coefficient convergence condition was added. The analysis identified the most influential predictors (parameters and their interactions) of the Gini coefficient wealth inequality outcome. Implications of this type of analysis for building and testing agent-based simulation models are discussed.
Locate the Document
DOI
10.1080/03081079.2021.1874947
Persistent Identifier
https://archives.pdx.edu/ds/psu/34914
Citation Details
Published as: Andey M. Nunes , Martin Zwick & Wayne Wakeland (2021): Sensitivity analysis of an agent-based simulation model using reconstructability analysis, International Journal of General Systems.
Included in
Computer Sciences Commons, Engineering Commons, Life Sciences Commons, Social and Behavioral Sciences Commons
Description
This is the author’s version of a work that was accepted for publication in International Journal of General Systems. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of General Systems