Abstract
Multi-agent dynamic-networks simulations are emerging as a powerful technique for reasoning about complex socio-cultural systems at sufficient fidelity that they can support policy development. Within these models the way in which the agents are modeled and the fidelity of the system are critical. Basic principles guiding the development and use of these models to support policy development are described.
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Maxwell, D.T., Carley, K.M. (2009). Principles for Effectively Representing Heterogeneous Populations in Multi-agent Simulations. In: Tolk, A., Jain, L.C. (eds) Complex Systems in Knowledge-based Environments: Theory, Models and Applications. Studies in Computational Intelligence, vol 168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88075-2_8
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DOI: https://doi.org/10.1007/978-3-540-88075-2_8
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