Extended Behavior Networks and Agent Personality: Investigating the Design of Character Stereotypes in the Game Unreal Tournament

  • Hugo da Silva Corrêa Pinto
  • Luis Otávio Alvares
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3661)


The Extended Behavior Network (EBN) is an architecture and action selection mechanism to design agents capable of selecting sets of concurrent actions in dynamic and continuous environments. It allows one to specify context-dependent motivations and build agents modularly, and has achieved good results in the Robocup and in the 3D action game Unreal Tournament. PHISH-Nets, another behavior network model capable of selecting just single actions, was applied to character modeling, with promising results. We investigate how EBNs fare on agent personality modeling via the design and analysis of 5 stereotypes in Unreal Tournament. We discuss three ways to build character personas and situate our work within other approaches. We conclude that EBNs provide a straightforward way to develop and experiment with different personalities, being interesting for building agents with simple personas and for character prototyping.


Agent Personality Global Parameter Activation Spreading Behavior Network Global Threshold 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Maes, P.: How to do The Right Thing. Connection Science Journal 1(3) (1989)Google Scholar
  2. 2.
    Rhodes, B.: PHISH-Nets: Planning Heuristically in Situated Hybrid Networks. MSc Thesis. MIT, Cambridge (1996)Google Scholar
  3. 3.
    Dörer, K.: Concurrent Behavior Selection in Extended Behavior Networks. Team Description for RoboCup 2000, Melbourne (2000)Google Scholar
  4. 4.
    Dörer, K.: Extended Behavior Networks for the Magma Freiburg Team. In: RoboCup-99 Team Descriptions for the Simulation League, pp. 79–83. Linkoping University Press (1999)Google Scholar
  5. 5.
    Müller, K.: Roboterfußball: Multiagentensystem CS Freiburg, Diplomarbeit. Univ., Freiburg, Germany (February 2001)Google Scholar
  6. 6.
    Pinto, H., Alvares, L.O.C.: Applying Extended Behavior Networks to 3D Action Games. In: Brazilian Simposium on Games and Digital Entertainment - W Jogos, 2004, Curitiba. SBGames 2004 - Proceedings of W Jogos (2004)Google Scholar
  7. 7.
    Unreal Tournament March 28 (2005),
  8. 8.
    Goetz, P.: Attractors in Recurrent Behavior Networks. Phd Thesis. University of New York, Buffalo (1997)Google Scholar
  9. 9.
    Cassell, J., et al.: Human Conversation as a System Framework: Designing Embodied Conversational Agents. In: Cassell, J., et al. (eds.) Embodied Conversational Agents, pp. 29–63. MIT Press, Cambridge (2000)Google Scholar
  10. 10.
    Rayes-Roth, B.: Improvisational puppets, actors, and avatars. In: Proceedings of Computer Games Conference (1996)Google Scholar
  11. 11.
    Isla, D., Burke, R., Blumberg, B., et al.: A Layered Brain Architecture for Synthetic Characters. In: The Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), Seattle, WA, August 2001, pp. 1051–1058 (2001)Google Scholar
  12. 12.
    Kline, C., Blumberg, B.: The Art and Science of Synthetic Character Design. In: Proceedings of the AISB 1999 Symposium on AI and Creativity in Entertainment and Visual Art, Edinburgh, Scotland (1999)Google Scholar
  13. 13.
    Scheutz, M., Sloman, A.: A Framework for Comparing Agent Architectures. In: Proceedings UKCI 2002, Birmingham, UK. UK Workshop on Computational Intelligence (2002)Google Scholar
  14. 14.
    Zilberstein, S.: Using Anytime Algorithms in Intelligent Systems. AI Magazine 17(3), 73–83 (1996)Google Scholar
  15. 15.
    Hawes, N.: An Anytime Planning Agent For Computer Game Worlds. In: Proceedings, Workshop on Agents in Computer Games at The 3rd International Conference on Computers and Games (CG 2002), July 27, pp. 1–14 (2002)Google Scholar
  16. 16.
    Nareyek, A.: Beyond the Plan-Length Criterion. In: Nareyek, A. (ed.) ECAI-WS 2000. LNCS (LNAI), vol. 2148, pp. 55–78. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  17. 17.
    Magerko, B., Laird, J., et al.: AI Characters and Directors for Interactive Computer Games. In: Proceedings of the 2004 Innovative Applications of Artificial Intelligence Conference, San Jose, CA, July 2004. AAAI Press, Menlo Park (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Hugo da Silva Corrêa Pinto
    • 1
  • Luis Otávio Alvares
    • 1
  1. 1.Instituto de InformáticaUniversidade Federal do Rio Grande do Sul (UFRGS)Porto AlegreBrazil

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