Article | RobocCup-99 Team Descriptions. Simulation League | Extended Behavior Networks for the magmaFreiburg Team

Title:
Extended Behavior Networks for the magmaFreiburg Team
Author:
Klaus Dorer: Albert-Ludwigs-Universität Freiburg, Germany
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Year:
1999
Conference:
RobocCup-99 Team Descriptions. Simulation League
Issue:
004
Article no.:
017
Pages:
79-83
No. of pages:
5
Publication type:
Abstract and Fulltext
Published:
1999-12-15
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
Linköping Electronic Articles in Computer and Information Science
ISSN (online):
1401-9841
Publisher:
Linköping University Electronic Press; Linköpings universitet


In this paper we descibe the process of action control used by the agents of the magmaFreiburg team. It is based on extended behavior networks; which add situation-dependent motivational influence on the agent and extend original behavior networks to exploit information from continuous domains. Advantages of the original networks; such as reactivity; planning capabilities; robustness; accountance for multiple goals and its cheap and distributed calculations are maintained.

RobocCup-99 Team Descriptions. Simulation League

Author:
Klaus Dorer
Title:
Extended Behavior Networks for the magmaFreiburg Team
References:

[1] Agre; Ph.; and Chapman; D. (1987). Pengi: An Implementation of a Theory of Activity. In: Proceedings of the Sixth National Conference on Arti cial Intelligence; AAAI-87; Morgan Kaufmann; Los Altos.


[2] Dorer; K. (1999). Behavior Networks for Continous Domains using Situation-Dependent Motivations. To appear in: Proceedings of the 16th International Joint Conference on Arti cial Intelligence; Morgan Kaufmann; Stockholm.


[3] Goetz; Ph. (1997). Attractors in Recurrent Behavior Networks. PhD thesis; State University of New York; Bu alo.


[4] Maes; P. (1989). The Dynamics of Action Selection. In Proceedings of the International Joint Conference on Arti cial Intelligence-’89 ; Morgan Kaufmann; Detroit.


[5] Maes; P. (1990). Situated Agents Can Have Goals. In Journal for Robotics and Autonomous Systems; Vol. 6; No 1; pages 49-70; North- Holland.


[6] Maes; P. (1992). Learning Behavior Networks from Experience. In Varela; F. and Bourgine; P. Proceedings of the First European Conference on Arti cial Life; pages 48-57; MIT-Press; Paris.


[7] Noda; I. (1995). Soccer server: a simulator of robocup. In Proceedings of AI symposium ’95; pages 29-34; Japanese Society for Arti cial Intelligence.

RobocCup-99 Team Descriptions. Simulation League

Author:
Klaus Dorer
Title:
Extended Behavior Networks for the magmaFreiburg Team
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