Multi-agent based intelligent virtual training system

Abstract

Integrated virtual reality with intelligent tutoring system, a multi-agent framework was proposed for intelligent virtual system for training in optional environment to improve trainee's emergency decision-making ability as well as their technical level. In order to make sure agent's training task plans are reliable and adaptive, a declarative formalism was applied to represent the virtual training task knowledge. Moreover, to mediate the interactions between trainee and virtual environment, the architecture of virtual trainee agent was constructed and realized, which is a comprehensive model of 3D virtual human as highly-capable individuals and combines with perceptual, behavioral, mental state, and cognitive modules. Finally, a practical intelligent virtual training system was represented, and the primary results show the robustness of our system and its ability to produce an effective virtual environment for safety training. © 2008 IEEE.