Modeling Spatiotemporal Uncertainty in Dynamic Virtual Environments
Current virtual agent  control architectures involve representations of the environment that must be adequate for effective deliberative behaviour rather than simple encoding of the environment’s state. Hence, they must take into account the element of uncertainty that is inherent to perceptual processes, in the form of predicting the future state of perceivable parts of the environment or the current state of non-perceivable parts. A number of approaches have been proposed to deal with uncertainty. A large proportion introducing uncertainty as a means towards increased perceptual believability . A different group attempts to deal with inherent uncertainty in a variety of ways [3,4]. Although substantial benefits are gained in both cases, prediction over time is rarely addressed, while potential knowledge on targets’ intentions remains largely unexploited.
KeywordsControl Architecture Motion Ability Virtual Museum System Design Engineer Apply Artificial Intelligence
- Kim, Y., Hill, R.W., Traum, D.R.: A Computational Model of Dynamic Perceptual Attention for Virtual Humans. In: Proc. 14th Conference on Behavior Representation in Modeling and Simulation (2005)Google Scholar
- Hill, R., Kim, Y., Gratch, J.: Anticipating Where to Look: Predicting the Movements of Mobile Agents in Complex Terrain. In: Proc. 1st International Joint Conference on Autonomous Agents and Multi-Agent Systems (2002)Google Scholar