Learning observer agents

Intelligent software agents are becoming essential part of collaborative virtual environments. In these environments, there is a need of agents that have the ability to learn user actions and predict future actions. Collaborative virtual workspace (CVW) is a collaborative virtual environment where agents can be created and perform important tasks for the user. Several agents have been created in CVW for specific tasks. These agents although can perform important tasks for the user, they lack the ability to learn and predict user actions. This paper presents a learning observer agent that is able to monitor the user´s actions with learning capability using genetic algorithm (GA). To demonstrate the feasibility of this agent, it is implemented and demonstrated in FCVW. FCVW is our extension of CVW.