DocumentCode :
1685914
Title :
Learning observer agents
Author :
Shakshuki, Elhadi ; Matin, Abdur Rafey ; Matin, Abdul Wasey
Author_Institution :
Jodrey Sch. of Comput. Sci., Acadia Univ., Wolfville, NS, Canada
Volume :
1
fYear :
2006
Abstract :
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.
Keywords :
genetic algorithms; learning (artificial intelligence); software agents; FCVW; collaborative virtual workspace; feasibility; genetic algorithm; intelligent software agents; learning observer agents; Collaborative software; Collaborative work; Computer architecture; Computer science; Genetic algorithms; Intelligent agent; Machine learning; Monitoring; Software agents; Virtual environment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications, 2006. AINA 2006. 20th International Conference on
ISSN :
1550-445X
Print_ISBN :
0-7695-2466-4
Type :
conf
DOI :
10.1109/AINA.2006.206
Filename :
1620218
Link To Document :
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