Abstract
We propose a hybrid approach of agent-based and gaming simulations for stakeholder accreditation. This approach assumes greater uncertainties about an agent’s decision-making and learning processes, severe time constraints on stakeholder participation in the modeling and simulation process, and limited understanding of an agent-based modeling language by stakeholders. The approach transforms an agent-based model into a game with adequate similarities between them, and it allows stakeholders to understand an agent-based model by playing the game. We developed a transformation-modeling protocol to convert an agent-based model into a valid and playable card game, and we introduce an example in which an agent-based model is transformed to assist the design of a performance measurement system in a sales organization. We report preliminary results for our approach.
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Acknowledgements
This chapter is modified and extended from the earlier version presented at the conference (WCSS 2012). This work was supported in part by a Grant-in-Aid for Scientific Research 21310097 from JSPS. We appreciate the helpful comments made by three anonymous reviewers.
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Goto, Y., Takizawa, Y., Takahashi, S. (2014). Hybrid Approach of Agent-Based and Gaming Simulations for Stakeholder Accreditation. In: Chen, SH., Terano, T., Yamamoto, R., Tai, CC. (eds) Advances in Computational Social Science. Agent-Based Social Systems, vol 11. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54847-8_18
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DOI: https://doi.org/10.1007/978-4-431-54847-8_18
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