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Learning Observer Agents
Vienna, Austria April 18-April 20
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AINA.2006.20620th International Conference on Adva ...
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Elhadi Shakshuki, Acadia University, Nova Scotia, Canada
Abdur Rafey Matin, Acadia University, Nova Scotia, Canada
Abdul Wasey Matin, Acadia University, Nova Scotia, Canada
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.
Citation:
Elhadi Shakshuki, Abdur Rafey Matin, Abdul Wasey Matin, "Learning Observer Agents," aina, vol. 1, pp.367-372, 20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06), 2006
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