Abstract
This research uses the paradigm of Virtual Agent Societies (multi-agent systems) to model and automate the administration of investment portfolios, equipped with sentiment analysis to propose more optimal solutions adapted to market requirements. The agents act and collaborate with a certain autonomy and intelligence to provide solutions to an investment problem. This design is made by different artificial intelligence techniques capable of extracting knowledge and anticipating the appearance of anomalous situations.
Keywords
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Acknowledgments
This research is supported by the Ministry of Education of the Junta de Castilla y León and the European Social Fund through a grant from predoctoral recruitment of research personnel associated with the University of Salamanca research project “ROBIN: Robo-advisor intelligent”.
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Nieves, E.H. (2021). Virtual Agent Societies to Provide Solutions to an Investment Problem. In: Rodríguez González, S., et al. Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference. DCAI 2020. Advances in Intelligent Systems and Computing, vol 1242. Springer, Cham. https://doi.org/10.1007/978-3-030-53829-3_28
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DOI: https://doi.org/10.1007/978-3-030-53829-3_28
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