One Model, Multiple Stories? Using Agent-Based Models to Unveil Structural Similarities in a Complex World

Faculty/Professorship: Fakultät Sozial- und Wirtschaftswissenschaften: Abschlussarbeiten ; Governance of Complex and Innovative Technological Systems  
Author(s): Mayerhoffer, Daniel  
Publisher Information: Bamberg : Otto-Friedrich-Universität
Year of publication: 2023
Pages: 168 ; Illustrationen, Diagramme
Series ; Volume: Bamberger Beiträge zur Modernen Politischen Theorie ; 3 
Supervisor(s): Marx, Johannes  ; Hegselmann, Rainer; Gehring, Thomas  
Language(s): English
Kumulative Dissertation, Otto-Friedrich-Universität Bamberg, 2022
DOI: 10.20378/irb-58578
Licence: Creative Commons - CC BY - Attribution 4.0 International 
URN: urn:nbn:de:bvb:473-irb-585782
The doctoral thesis argues that such transfer of the structure of an Agent-Based-Model from one real world application to another is indeed possible by means of story adaptation to the new application case. If successful, the transfer benefits research in two ways: (I) It improves efficiency for modellers and readers alike; (II) it can reveal structural similarity between these cases and help to assess the extent of this structural similarity. Therefore, structure transfer is no mere auxiliary to Agent-Based Modelling but an independent scientific endeavour. However, such endeavour may also fail or mislead in the sense that an identified structural similarity between two modelled situations does not exist. Hence, model structure transfer requires a careful execution.
GND Keywords: Modellierung; Mehragentensystem; Komplexes System; Politische Theorie
Keywords: Agent-Based-Modelling, Computational Social Science, template transfer, complexity, validation
DDC Classification: 320 Political Science  
RVK Classification: MB 2500   
Type: Doctoralthesis
Release Date: 28. March 2023

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