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End User Specification of RoboCup Teams

  • Paul Scerri
  • Johan Ydrén
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1856)

Abstract

Creating complex agents for simulation environments has long been the exclusive realm of AI experts. However it is far more desirable that experts in the particular application domain, rather than AI experts, are empowered to specify agent behavior. In this paper an approach is presented that allows domain experts to specify the high-level team strategies of agents for RoboCup. The domain experts’ specifications are compiled into behavior based agents.

The 1999 RoboCup World Cup provided an interesting basis for evaluation of the approach. We found that for RoboCup it is not necessary to allow a user to change low level aspects of the agents’ behavior in order for them to create a range of different, interesting teams. We also found that the modular nature of behavior based architectures make them an ideal target architecture for compiling enduser specifications.

Keywords

Domain Expert Speci Cation Team Behavior High Level Behavior Team Strategy 
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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References

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    Hiraoki Kitano, Minoru Asada, Yasuo Kuniyoshi, and et. al. RoboCup: A challenge problem for AI. AI Magazine, 18(1):73–85, Spring 1997.Google Scholar
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    Paul Scerri, Silvia Coradeschi, and Anders Törne. A user oriented system for developing behavior based agents. In Proceedings of RoboCup’98, Paris, 1998.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Paul Scerri
    • 1
    • 2
  • Johan Ydrén
    • 1
    • 2
  1. 1.Institute for Computer ScienceLinkpings UniversitetSweden
  2. 2.Real-time Systems Laboratory Department of Computer and Information ScienceLinköpings UniversitetLinköpingSweden

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