Decision Networks for Integrating the Behaviors of Virtual Agents and Avatars
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We examine the use of decision networks in animating virtual agents. We have developed a system that allows the realization of multiple, parallel behaviors for an agent. The networks we utilize, called PaT-Nets, are used both to represent individual behaviors and also to encode rules of engagement between agents. The multiple networks simultaneously attached to an individual agent are used to control locomotion, planning, visual attention and decision-making strategy. We discuss how human players may be substituted for autonomous players and still operate under the represented behaviors in the PaT-Nets.
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Copyright 1996 IEEE. Reprinted from Proceedings of the IEEE 1996 Virtual Reality Annual International Symposium (VRAIS 96), June 1996, page 156-162. Publisher URL: http://dx.doi.org/10.1109/VRAIS.1996.490523 This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.