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One Model, Multiple Stories? Using Agent-Based Models to Unveil Structural Similarities in a Complex World
Mayerhoffer, Daniel M. (2023): One Model, Multiple Stories? Using Agent-Based Models to Unveil Structural Similarities in a Complex World, Bamberg: Otto-Friedrich-Universität, doi: 10.20378/irb-58578.
Author:
Publisher Information:
Year of publication:
2023
Pages:
Series ; Volume:
Supervisor:
Language:
English
Remark:
Kumulative Dissertation, Otto-Friedrich-Universität Bamberg, 2022
DOI:
Abstract:
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:
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Type:
Doctoralthesis
Activation date:
March 28, 2023
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https://fis.uni-bamberg.de/handle/uniba/58578