Abstract
Many agent-based models, use standard distributions in several steps of the design: configuring the initial conditions of simulations, distributing objects spatially, and determining exogenous factors or aspects of the agents’ behaviour. An alternative approach that is growing in popularity is data-driven agent-based simulation. This paper encourages modellers to continue this trend, discussing some guidelines for finding suitable data and feeding models with it. In addition it proposes to merge the principles of microsimulation into the classical logic of agent-based simulation, adapting it to the data-driven approach. A case study comparing the two approaches is provided.
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Acknowledgments
We acknowledge support from the projects: NEMO: Network Models, Governance and R&D collaboration networks funded by the European Commission Sixth Framework Programme – Information Society and Technologies – Citizens and Governance in the Knowledge Based Society, and Agent-based Modelling and Simulation of Complex Social Systems (SiCoSSys), supported by Spanish Council for Science and Innovation, with grant TIN2008-06464-C03-01. We would also like to thank the anonymous reviewers for their valuable comments.
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Hassan, S., Pavón, J., Antunes, L., Gilbert, N. (2010). Injecting Data into Agent-Based Simulation. In: Takadama, K., Cioffi-Revilla, C., Deffuant, G. (eds) Simulating Interacting Agents and Social Phenomena. Agent-Based Social Systems, vol 7. Springer, Tokyo. https://doi.org/10.1007/978-4-431-99781-8_13
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DOI: https://doi.org/10.1007/978-4-431-99781-8_13
Publisher Name: Springer, Tokyo
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