Proceedings of the Sixth IASTED International Conference on Computer Graphics and Imaging.
Honolulu, Hawaii, August 2003.
This article presents a framework for incorporating commonly used VR (Virtual Reality) databases for graphics and physics simulation into an AI (Artificial Intelligence) knowledge base using a unifying semantic net (SN) representation. Several examples in the area of multimodal interaction for AI based graphics applications are given to motivate this approach. An evaluation of the chosen SN knowledge representation (KR) regarding five roles suitable to analyze a given KR is followed by a discussion about resulting conceptual and technical requirements for the underlying DB/KBMS (database/knowledge base management system) which supports the chosen KR as well as mediating layers for external simulation relevant modules.
Virtual Reality, Artificial Intelligence Techniques,
Human-Computer Interaction, Multimodal Interaction