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An agent-based approach to developing intelligent virtual reality-based training systems

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3 Author(s)
Fuhua Lin ; Calgary Univ., Alta., Canada ; Chuan-Jun Su ; Tseng, Mitchell M.

This paper presents an agent-based approach to developing intelligent virtual reality-based training systems. The architecture of an intelligent virtual reality-based training system is modeled as five collaborative agents: training task-planning agent, simulation agent, performance evaluation agent, on-line instruction agent, and intelligent interface agent. The behavioral and knowledge models of each agent type and the mechanism of inter-agent interaction and coordination are described. A Petri net-based specification approach that gives the work formalism for effective modeling and implementation is elaborated. Finally, a computerized numeric control (CNC) milling operation virtual training prototype system is introduced to show the effectiveness of this approach

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Tools with Artificial Intelligence, 1999. Proceedings. 11th IEEE International Conference on

Date of Conference: