Abstract
The paper presents a pattern-oriented agent-based model to simulate the dynamics of a stock market. The model generates satisfactory market macro-level trend and volatility while the agents obey simple rules but follow the behaviors of the neighbors closely. Both the market and the agents are made to evolve in an environment where Darwin's natural selection rules apply. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Xu, C., & Chi, Z. (2007). Pattern-oriented agent-based modeling for financial market simulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4491 LNCS, pp. 626–631). Springer Verlag. https://doi.org/10.1007/978-3-540-72383-7_74
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