Conference article

Balancing Reasoning and Reaction in a Multi-Agent Architecture for RoboCup Competition

Carlo Ferrari
University of Padua, Italy

Francesco Garelli
University of Padua, Italy

Stefano Griggio
University of Padua, Italy

Enrico Pagello
University of Padua, Italy

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Published in: RobocCup-99 Team Descriptions. Simulation League

Linköping Electronic Conference Proceedings 4:22, p. 98-102

Linköping Electronic Articles in Computer and Information Science vol. 4 4:22, p. 98-102

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Published: 1999-12-15

ISBN:

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

In this paper the PaSo-Team; (The University of PAdua Simulated Robot SOccer Team); a software system for participating to the Simulator League of the RoboCup competition; is described. PaSo-Team has been conceived as a Multi-Agent System that must be able to play soccer game under the terms and conditions proposed by the International RoboCup Federation. Following the experiences done in 1997; and 1998 competitions; it has been developed the 99 release of PaSo-Team; namely PaSo-Team99. While maintaining its historical origins of being a multi-agent reactive software architecture based on BrooksÕ Subsumption Architecture; PaSo-Team99 tries to overcome the major limitations of pure reactive systems; introducing a more abstract level of learning and reasoning used to proper differentiate the current behaviour of the various component agents of the system; according to the actual phase of the game. The paper gives a general description of the system and a guideline of the main ideas underlying its architecture.

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References

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[Pagello 1997] E. Pagello; F. Montesello; A. D’Angelo; C. Ferrari; \A Reactive Architecture for RoboCup Competition"; Proc. First Int. Workshop on RoboCup; H.Kitano ed.; Lecture Notes in Arti cial Intelligence; Springer -Verlag; 1997.

[Pagello 1998] E. Pagello; F. Montesello; F.Candon; P.Chioetto; F.Garelli; S.Griggio; A.F. Grisotto; \Learning the when in RoboCup Competition"; Proc. Second Int. Workshop on RoboCup; Lecture Notes in Arti cial Intelligence; Springer -Verlag; 1998.

[Pagello 1999] E. Pagello; A. D’Angelo; F. Montesello; F. Garelli; C. Ferrari; \Cooperative behaviors in multi-robot systems through implicit communication". Robotics and Autonomous Systems; to appear; Spring 1999.

[Stone] P.Stone; \Layered Learning in Multi-Agent Systems"; Ph.D. Thesis; School of

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