Abstract
Role playing games have been widely used to develop and validate an agent-based model by observing players’ behaviour. Our study focuses on proposing a novel approach to use roleplaying games in the development and validation of an agent-based model. Our innovations include matching the game’s parameters and player composition to reality, incorporating the design of experiments into the data collection, and incorporating operational validation steps into the process. We demonstrate the benefits of our approach by a case study of a dairy supply chain. Our analysis illustrates that the data obtained from the role playing game are valuable for the validation of agent-based models at the micro-level (process and knowledge representation) and, subsequently, improve the validity of the model at the macro-level.
| Original language | English |
|---|---|
| Pages (from-to) | 2670-2693 |
| Number of pages | 24 |
| Journal | Journal of the Operational Research Society |
| Volume | 73 |
| Issue number | 12 |
| Early online date | 14 Dec 2021 |
| DOIs | |
| Publication status | Published - 2 Dec 2022 |
Keywords
- Agent-based modelling
- agriculture
- behavioural OR
- decision rule elicitation
- role-playing game
- supply chain
- validation
ASJC Scopus subject areas
- Modelling and Simulation
- Strategy and Management
- Statistics, Probability and Uncertainty
- Management Science and Operations Research
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© 2022 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.