Agent Learning to Manage Costs for Event Detection
Kareem S. Aggour, John Interrante, Christina LaComb · 2006 3rd International IEEE Conference Intelligent Systems · 2006
Recent scandals around manipulated financial filings have caused investors and analysts to search for alternative ways to study the financial health of companies. The use of news events such as CEO or auditor changes has proven valuable at providing insights into the status of a company's financial health. However, this information can be extremely difficult and expensive to gather in practice. An intelligent multi-agent system was designed and developed to simulate the collection of news events in an efficient, cost-effective manner. Results show that a multi-agent system is an effective tool for collecting critical business intelligence while minimizing cost