3D Immersion in Virtual Agents Education

  • Cyril Brom
  • Jakub Gemrot
  • Ondřej Burkert
  • Rudolf Kadlec
  • Michal Bída
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5334)

Abstract

Many projects featuring intelligent virtual agents have emerged in last years, but not many reports on their advances in education. This paper presents the curricula of a university course on Modelling Behaviour of Human and Animal-like Agents, including a seminar in which students develop their own virtual agents using a toolkit we have developed. This course has been also scaled for a workshop with computer science high-school students. An evaluation of the course is presented and main lessons learned overviewed. The paper also explicitly formulates the teaching methodology underpinning the course and outlines several general questions hoping to start a broader discussion on educational issues related to the field of intelligent virtual agents.

Keywords

Intelligent virtual agents storytelling education course curriculum 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Adobbati, R., Marshall, A.N., Scholer, A., Tejada, S.: Gamebots: A 3d virtual world test-bed for multi-agent research. In: Proc. 2nd Int. Workshop on Infrastructure for Agents, MAS, and Scalable MAS (2001) (26.6.2008), http://gamebots.planetunreal.gamespy.com/
  2. 2.
    Aylett, R.: Slides for the course on Artificial Intelligence, Heriot-Watt University, Edinburgh (26.6.2008), http://www.macs.hw.ac.uk/modules/F23AD3/AIcourse.html
  3. 3.
    Brom, C.: Supporting material to this paper, extended version of this paper, slides for the course on Modelling Behaviour of Human and Animal-like Agents. Charles University in Prague (26.6.2008), http://artemis.ms.mff.cuni.cz/main/tiki-index.php?page=Teaching
  4. 4.
    Brom, C., Šerý, O., Poch, T.: Simulation Level-of-detail for Virtual Humans. In: Pelachaud, C., Martin, J.-C., André, E., Chollet, G., Karpouzis, K., Pelé, D. (eds.) IVA 2007. LNCS (LNAI), vol. 4722, pp. 1–14. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  5. 5.
    Bryson, J.J.: Intelligence by Design: Principles of Modularity and Coordination for Engineering Complex Adaptive Agents. PhD thesis, MIT (2001)Google Scholar
  6. 6.
    Dignum, F., Westra, J.: Slides for the course on Games and Agents, University Utrecht (26.6.2008), http://www.cs.uu.nl/docs/vakken/gag/
  7. 7.
    Epic Megagames: Unreal Tournament (2004) (26.6.2008), http://www.unrealtournament.com/
  8. 8.
    de Melo, C., Prada, R., Raimundo, G., Pardal, J.P., Pinto, H.S., Paiva, A.: Mainstream Games in the Multi-agent Classroom. In: Proc. Int. Conf. on Intelligent Agent Technology (2006) (26.6.2008), https://fenix.ist.utl.pt/disciplinas/aasm
  9. 9.
    Evans, R.: Varieties of Learning. In: Rabin, S. (ed.) AI Game Programming Wisdom I, pp. 567–579. Charles River Media, Inc., Hingham (2002)Google Scholar
  10. 10.
    Grand, S., Cliff, D., Malhotra, A.: Creatures: Artificial life autonomous software-agents for home entertainment. In: Proc. 1st Int. Conf. Auton. Agents, pp. 22–29. ACM press, New York (1997)Google Scholar
  11. 11.
    Johnson-Laird, P.N.: Mental Models. In: Posner (ed.) Foundations of Cognitive Science, ch. 12. MIT Press, Cambridge (1993)Google Scholar
  12. 12.
    Kadlec, R., Gemrot, J., Burkert, O., Bída, M., Havlíček, J., Brom, C.: Pogamut 2 – a platform for fast development of virtual agents’ behaviour. In: Proc. CGAMES 2007, La Rochelle, France (2007) (26.6.2008), http://artemis.ms.mff.cuni.cz/pogamut Google Scholar
  13. 13.
    Kirschner, F.: Movie Sand BOX (26.6.2008), http://www.moviesandbox.net/
  14. 14.
    Linden Research, Inc.: Second Life (26.6.2008), http://secondlife.com/
  15. 15.
    Pappert, S.: Mindstorms: Children, Computers, and Powerful Ideas. Basic Books, New York (1980)Google Scholar
  16. 16.
    Prendinger, H., Ishizuka, M. (eds.): Life-Like Characters: Tools, Affective Functions, and Applications. Springer, Heidelberg (2004)Google Scholar
  17. 17.
    Sun Microsystems, Inc.: Netbeans (26.6.2008), http://www.netbeans.org
  18. 18.
    Tyrrell, T.: Computational Mechanisms for Action Selection. PhD thesis, Centre for Cognitive Science, University of Edinburgh (1993)Google Scholar
  19. 19.
    Wilensky, U.: NetLogo. Center for Connected Learning and Computer-Based Modeling, Northwestern University (1999) (26.6.2008), http://ccl.northwestern.edu/netlogo/

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Cyril Brom
    • 1
  • Jakub Gemrot
    • 1
  • Ondřej Burkert
    • 1
  • Rudolf Kadlec
    • 1
  • Michal Bída
    • 1
  1. 1.Faculty of Mathematics and PhysicsCharles UniversityPragueCzech Republic

Personalised recommendations