Intelligent Agents in Portfolio Management

The voluminous and readily available information on the Internet has given rise to exploration of Intelligent Agent technology for accessing, ltering, evaluating and integrating information. In contrast to most current research that has investigated single-agent approaches, we are developing a collection of multiple agents that team up on demand, depending on the user, the task and the situation, to access, lter and integrate information in support of user tasks. We are investigating techniques for developing distributed adaptive collections of information agents that coordinate to retrieve, lter and fuse information relevant to the user, task and situation, as well as anticipate user's information needs. Our approach is based on (1) case-based task and situation models, (2) exible organizational structuring, and (3) reusable agent architecture. We are currently implementing the system in the domain of nancial portfolio management.