A method for developing agent-based models of socio-technical systems

Igor Nikolic*, Amineh Ghorbani

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

33 Citations (Scopus)

Abstract

Agent-based modeling is one of the popular tools for analyzing complex socio-technical systems. Because of the complex nature of such systems a systematic methodology is required to guide the modeling process. By studying the existing methodologies in MAS we distinguished four major differences between MAS and ABM regarding goals, system scale and diversity, level of system understanding and verification and validation concerns. In this paper we take these differences into account and based on more than 25 case studies, we present a methodological framework for developing agent-based models that consists of five general iterative phases. These phases namely: system analysis, model design, detailed design, implementation and evaluation further consists of smaller step that are also addressed in this paper. This methodology provides a tool independent template while respecting the specific requirements for ABM.

Original languageEnglish
Title of host publication2011 International Conference on Networking, Sensing and Control, ICNSC 2011
PublisherIEEE
Pages44-49
Number of pages6
ISBN (Print)9781424495702
DOIs
Publication statusPublished - 11 Jul 2011
Event2011 International Conference on Networking, Sensing and Control, ICNSC 2011 - Delft, Netherlands
Duration: 11 Apr 201113 Apr 2011

Conference

Conference2011 International Conference on Networking, Sensing and Control, ICNSC 2011
Country/TerritoryNetherlands
CityDelft
Period11/04/1113/04/11

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