Abstract
Agent technology provides a new way to model many complex problems like financial investment planning. With this observation in mind, a financial investment planning system was developed from agent perspectives with 12 different agents integrated. Some of the agents have similar problem solving and decision making capabilities. The results from these agents require to be combined. Ordered Weighted Averaging (OWA) operator was chosen to aggregate different results. Details on how OWA was applied as well as appropriate evaluation are presented.
This paper is partially supported by the Ministry of Education of China Key Project 104160.
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Zhang, Z. (2006). Decision Aggregation in an Agent-Based Financial Investment Planning System. In: Torra, V., Narukawa, Y., Valls, A., Domingo-Ferrer, J. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2006. Lecture Notes in Computer Science(), vol 3885. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11681960_19
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DOI: https://doi.org/10.1007/11681960_19
Publisher Name: Springer, Berlin, Heidelberg
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