Abstract
Agent-based modelling, a way to simulate complex systems comprised of autonomous and interacting agents, is perhaps one of the most promising developments in experiential learning. In this paper we present a business simulation where the marketplace is modelled as an evolving system of deliberative (consumer) agents acting as utility maximizers. Concretely, we describe the deliberative-based architecture of our consumer agents and its unique properties. Additionally, we present our preliminary results which suggest participants are better able to understand the simulation when provided with the unique information of the agent-based approach.
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CITATION STYLE
Baptista, M. L., Martinho, C., Lima, F., Santos, P. A., & Prendinger, H. (2014). A business simulation with an agent-based deliberative model of consumer behaviour. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8605, pp. 215–223). Springer Verlag. https://doi.org/10.1007/978-3-319-12157-4_17
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