The Intersection of Agent Based Models and Fuzzy Cognitive Maps: A Review of an Emerging Hybrid Modeling Practice

Authors

Christopher W.H. Davis, Portland State University
Philippe J. Giabbanelli, Miami University - Oxford
Antoine J. Jetter, Portland State UniversityFollow

Published In

2019 Winter Simulation Conference (WSC)

Document Type

Citation

Publication Date

2019

Abstract

Agent Based Modeling (ABMs) and Fuzzy Cognitive Mapping (FCM) are complementary modeling techniques: the former represents interacting agents across a landscape over time but does not specify how to encapsulate subjective behaviors in agents, whereas the latter can model a subjective behavior but lacks the ability to scale it to a population or do it over time. These techniques are increasingly used together, particularly as hybrid models. We propose the first review of this emerging practice and identified 31 articles that combined the two techniques. Our analysis revealed three different high-level architectures to structure the combined use of ABMs and FCMs, such as using an interface or embedding an FCM into each agent. Our review provides a snapshot of an emerging field, thus assembling the evidence-base to identify potential areas for future work, such as consolidating and standardizing software development efforts in a currently fragmented field.

Description

©2019 IEEE

Locate the Document

http://doi.org/10.1109/WSC40007.2019.9004842

DOI

10.1109/WSC40007.2019.9004842

Persistent Identifier

https://archives.pdx.edu/ds/psu/33061

Citation Details

C. W. H. Davis, P. J. Giabbanelli and A. J. Jetter, "The Intersection of Agent Based Models and Fuzzy Cognitive Maps: A Review of an Emerging Hybrid Modeling Practice," 2019 Winter Simulation Conference (WSC), National Harbor, MD, USA, 2019, pp. 1292-1303, doi: 10.1109/WSC40007.2019.9004842.