Virtual agent societies to provide solutions to an investment problem

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.