Abstract
In this chapter, we present an agent-based model of Kickstarter, maybe the most successful crowdfunding platform available nowadays. We aim to use the model to better understand cognitive strategies and behavioral dynamics governing Kickstarter, considered as a multi-actor system where agents adopting different strategies interact. The model shows how the success of agents is affected by the strategy they adopt and provide interesting insight about non-linear dynamics resulting from the interactions among agents.
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Campennì, M., Cecconi, F. (2019). Modeling the Dynamics of Reward-Based Crowdfunding Systems: An Agent-Based Model of Kickstarter. In: Cecconi, F., Campennì, M. (eds) Information and Communication Technologies (ICT) in Economic Modeling. Computational Social Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-22605-3_6
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DOI: https://doi.org/10.1007/978-3-030-22605-3_6
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