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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/28386

Title: Can we learn from wrong simulation models? A preliminary experimental study on user learning
Authors: Tsioptsias, Naoum
Tako, Antuela A.
Robinson, Stewart
Keywords: Discrete-event simulation
Wrong models
Simple models
Complexity
Behavioural operational research
Issue Date: 2018
Publisher: © The Operational Research Society
Citation: TSIOPTSIAS, N., TAKO, A.A. and ROBINSON, S., 2018. Can we learn from wrong simulation models? A preliminary experimental study on user learning. IN: Anagnostou, A., Meskarian, R. and Robertson, D. (eds.) Proceedings of the Operational Research Society Simulation Workshop 2018 (SW18), Stratford, Worcestershire, UK, 19-21st March, pp.219-229.
Abstract: A number of authors believe that wrong models can be useful, providing learning opportunities for their users. This paper details an experiment on model complexity, investigating differences in learning after using a simplified versus an adequate version of the same model. Undergraduate students were asked to solve a resource utilization task for an ambulance service. The treatment variables were defined as the model types used (complex, simple, and no model). Two questionnaires (before and after the process) and a presentation captured participants' attitudes towards the solution. Results suggest differences in learning were not significant, while simple model users demonstrated a better understanding of the problem. This paper consists of a preliminary behavioural operational research study that contributes towards identifying the value of wrong simulation models from the perspective of model users.
Description: This is a conference paper.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/28386
Publisher Link: http://www.theorsociety.com/DocumentRepository/Document_Home.aspx
Appears in Collections:Conference Papers and Presentations (Business)

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