Abstract
Existing models for complex systems are often based on quantitative, numerical methods such as Dynamical Systems Theory (DST) [Port and Gelder 1995]. Such approaches often use numerical variables to describe global aspects and specify how they affect each other over time. An advantage of such approaches is that numerical approximation methods and software are available for simulation.
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Bosse, T., Sharpanskykh, A., Treur, J. (2010). Modelling Complex Systems by Integration of Agent-Based and Dynamical Systems Models. In: Minai, A., Braha, D., Bar-Yam, Y. (eds) Unifying Themes in Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85081-6_6
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DOI: https://doi.org/10.1007/978-3-540-85081-6_6
Publisher Name: Springer, Berlin, Heidelberg
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