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Modeling Spatiotemporal Uncertainty in Dynamic Virtual Environments

  • S. Vosinakis
  • G. Anastassakis
  • T. Panayiotopoulos
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4722)

Abstract

Current virtual agent [1] 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 [2]. 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.

Keywords

Control Architecture Motion Ability Virtual Museum System Design Engineer Apply Artificial Intelligence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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    Aylett, R., Luck, M.: Applying artificial intelligence to virtual reality: Intelligent virtual environments. Applied Artificial Intelligence 14(1), 3–32 (2000)CrossRefGoogle Scholar
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    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
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    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
  4. [4]
    Conde, T., Thalmann, D.: An Integrated Perception for Autonomous Virtual Agents: Active and Predictive Perception. Computer Animation and Virtual Worlds 17, 457–468 (2006)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • S. Vosinakis
    • 1
  • G. Anastassakis
    • 2
  • T. Panayiotopoulos
    • 2
  1. 1.University of the Aegean, Department of Product and Systems Design Engineering, Hermoupolis, SyrosGreece
  2. 2.University of Piraeus, Department of Informatics, PiraeusGreece

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