Computer Simulation and Agent-Based Models as a Research Method

Fabian P. Held*, Ian Wilkinson

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

Computer simulations are a different way of doing science from induction and deduction, they are about creating artificial worlds to study real worlds by analogy. Here we focus on a particular type of simulation model, Agent Based Models, that are capable of representing the essential features of complex social and business systems. We explain the role and value of these types of models and how they are built, tested and interpreted. We show how they can be used to better understand the behaviour of complex systems and also guide practitioners and policymakers.

Original languageEnglish
Title of host publicationCollaborative Research Design : Working with Business for Meaningful Findings
EditorsPer Vagn Freytag, Louise Young
Place of PublicationSingapore
PublisherSpringer
Publication date2018
Pages377-398
Chapter15
ISBN (Print)9789811050060
ISBN (Electronic)9789811050084
DOIs
Publication statusPublished - 2018

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