Abstract
We use variants of Self Organizing Maps (SOMs) to simulate how agents interact in social systems. Our efforts were mainly concentrated to model agents learning and psychological relationships, as well as the way those latter can affect the system general behavior. As main result, we developed a suitable environment to simulate economic systems and to simulate its dynamics.
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Resta, M. (2013). Exploring Social Systems Dynamics with SOM Variants. In: Estévez, P., PrÃncipe, J., Zegers, P. (eds) Advances in Self-Organizing Maps. Advances in Intelligent Systems and Computing, vol 198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35230-0_36
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DOI: https://doi.org/10.1007/978-3-642-35230-0_36
Publisher Name: Springer, Berlin, Heidelberg
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