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Modeling Sensation for an Intelligent Virtual Agent’s Perception Process

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Book cover Intelligent Virtual Agents (IVA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9238))

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Abstract

Perception is an important aspect of cognition since it forms the basis for further decision-making processes. In this contribution, the overall architecture of our synthetic perception for agents framework (SynPeA) for simulating a virtual entities perception is presented. We discuss aspects of modeling visual sensation and propose mechanisms for virtual sensors and memory. Different visual sensing approaches are compared by applying them to an artificial evaluation scenario. The evaluations show promising results with respect to performance and quality.

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Acknowledgments

The presented work was partially funded by the FHprofUnt program of the BMBF (project AVeSi, grant 17028X11).

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Authors and Affiliations

  1. Institute of Visual Computing, Bonn-Rhein-Sieg University of Applied Sciences, Grantham-Allee 20, 53757, Sankt Augustin, Germany

    Tobias Haubrich, Sven Seele, Rainer Herpers & Peter Becker

  2. University of New Brunswick, Fredericton, E3B 5A3, Canada

    Rainer Herpers

  3. York University, Toronto, M3J 1P3, Canada

    Rainer Herpers

  4. University of Bonn, 53115, Bonn, Germany

    Christian Bauckhage

Authors
  1. Tobias Haubrich
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  2. Sven Seele
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  3. Rainer Herpers
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  4. Christian Bauckhage
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  5. Peter Becker
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Corresponding author

Correspondence to Sven Seele .

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Editors and Affiliations

  1. Delft University of Technology, Delft, The Netherlands

    Willem-Paul Brinkman

  2. Delft University of Technology, Delft, The Netherlands

    Joost Broekens

  3. University of Twente, Enschede, The Netherlands

    Dirk Heylen

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Haubrich, T., Seele, S., Herpers, R., Bauckhage, C., Becker, P. (2015). Modeling Sensation for an Intelligent Virtual Agent’s Perception Process. In: Brinkman, WP., Broekens, J., Heylen, D. (eds) Intelligent Virtual Agents. IVA 2015. Lecture Notes in Computer Science(), vol 9238. Springer, Cham. https://doi.org/10.1007/978-3-319-21996-7_9

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  • DOI: https://doi.org/10.1007/978-3-319-21996-7_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21995-0

  • Online ISBN: 978-3-319-21996-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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