Abstract
Economic models attempt to represent the aggregate behaviour of individual actors engaged in an economic activity. To ensure tractability in the subsequent mathematics, restrictive assumptions on the modelled phenomena are often required. Economic features that cannot be modelled mathematically can be difficult to verify experimentally. The hybrid multi-agent model developed here starts as an exact representation of a mathematics-based, multi-agent economics model, and then a more qualitative feature is added. Unlike purely qualitative studies, the effects of this additional feature can then be observed within an environment that has been experimentally demonstrated to be quantitatively accurate. The hybrid model is thus able to integrate both rigid mathematical assumptions and intuitive qualitative features, and the presented experimental data provides new insight into the potential role of social investors during market manias and bubbles.
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Chen, S., Tien, J., Spotton Visano, B. (2008). A Hybrid Multi-agent Model for Financial Markets. In: Nguyen, N.T., Borzemski, L., Grzech, A., Ali, M. (eds) New Frontiers in Applied Artificial Intelligence. IEA/AIE 2008. Lecture Notes in Computer Science(), vol 5027. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69052-8_56
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DOI: https://doi.org/10.1007/978-3-540-69052-8_56
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