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The Virtual Apprentice

  • Conference paper
Intelligent Virtual Agents (IVA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7502))

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Abstract

Over the past couple of decades, virtual humans have been attracting more and more attention. Many applications including, video games, movies, and various training and tutoring systems have benefited from work in this area. While the visual quality of virtual agents has improved dramatically, their intelligence and socialization still needs improvement. In this paper, we present work towards endowing agents with social roles and exploiting Explanation-Based Learning (EBL) to enable them to acquire additional, contextual behaviors from other agents. These virtual humans are capable of learning and applying role related actions from multiple agents and only adopt behaviors that have been explained to them, meaning that their definition of a role may be a subset from one or more agents. This results in emergent behaviors in heterogeneous populations.

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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. Dept. of Computer and Information Science, Seikei University, Musashino-shi, 180-8633, Tokyo, Japan

    Yukiko Nakano

  2. Department of Computer Science and Program for Technocultural Studies, University of California, 1 Shields Avenue, 95616, Davis, CA, U.S.A.

    Michael Neff

  3. Baskin School of Engineering, University of California Santa Cruz, 1156 N. High SOE-3, 95064, Santa Cruz, CA, USA

    Ana Paiva  & Marilyn Walker  & 

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© 2012 Springer-Verlag Berlin Heidelberg

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Li, W., Allbeck, J.M. (2012). The Virtual Apprentice. In: Nakano, Y., Neff, M., Paiva, A., Walker, M. (eds) Intelligent Virtual Agents. IVA 2012. Lecture Notes in Computer Science(), vol 7502. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33197-8_2

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  • DOI: https://doi.org/10.1007/978-3-642-33197-8_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33196-1

  • Online ISBN: 978-3-642-33197-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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