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Virtual Humans: Evolving with Common Sense

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Motion in Games (MIG 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7660))

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Abstract

While the quality and robustness of animation techniques for virtual human have improved greatly over the past couple of decades, techniques for improving their intelligence have not kept pace. Ideally, agents would be smart without being all-knowing and their future behaviors would be affected by their acquired knowledge just as with their real human counterparts. In this paper we present a method that uses commonsense knowledge to establish a baseline of concepts and relationships between objects. An agent then learns environment specific knowledge through its own perception and communication with other agents. Ultimately, agents’ commonsense knowledge is then refined by their own experiences.

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Author information

Authors and Affiliations

  1. Laboratory for Games and Intelligent Animation, George Mason University, 4400 University Drive, MSN 4A5, Fairfax, VA, 22030, USA

    Weizi Li & Jan M. Allbeck

Authors
  1. Weizi Li
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  2. Jan M. Allbeck
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Editor information

Editors and Affiliations

  1. School of Engineering, University of California, Merced, 5200 N. Lake Road, 95343, Merced, CA, USA

    Marcelo Kallmann

  2. Department of Computer Science, Rutgers University, 110 Frelinghuysen Road, 08854, Piscataway, NJ, USA

    Kostas Bekris

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© 2012 Springer-Verlag Berlin Heidelberg

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Li, W., Allbeck, J.M. (2012). Virtual Humans: Evolving with Common Sense. In: Kallmann, M., Bekris, K. (eds) Motion in Games. MIG 2012. Lecture Notes in Computer Science, vol 7660. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34710-8_17

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  • DOI: https://doi.org/10.1007/978-3-642-34710-8_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34709-2

  • Online ISBN: 978-3-642-34710-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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