PEGASE: A Generic and Adaptable Intelligent System for Virtual Reality Learning Environments
Cédric Buche, Cyril Bossard, Ronan Querrec, Pierre Chevaillier · International Journal of Virtual Reality · 2010
The context of this research is the creation of human learning environments using virtual reality. We propose the integration of a generic and adaptable intelligent tutoring system (Pegase) into a virtual environment. The aim of this environment is to instruct the learner, and to assist the instructor. The proposed system is created using a multi-agent system. This system emits a set of knowledge (actions carried out by the learner, knowledge about the �eld, etc.) which Pegase uses to make informed decisions. Our study focuses on the representation of knowledge about the environment, and on the adaptable pedagogical agent providing instructive assistance