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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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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