Konferensartikel

KULRoT 1999 Team Description

Kurt Driessens
K.U.Leuven, Belgium

Nico Jacobs
K.U.Leuven, Belgium

Bert Robben
K.U.Leuven, Belgium

Ladda ner artikelhttp://www.ep.liu.se/ecp_article/index.en.aspx?issue=004;article=015

Ingår i: RobocCup-99 Team Descriptions. Simulation League

Linköping Electronic Conference Proceedings 4:15, s. 69-73

Linköping Electronic Articles in Computer and Information Science 6:15, s. 69-73

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Publicerad: 1999-12-15

ISBN:

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

Abstract

This paper gives an overview of the KULRoT 99 team. This team is based on our last years team. The major problem we experienced with KULRoT 98 was a slow reaction time. The cause of this problem was related to bad synchronization and an insufficient notion of time. To tackle this problem; we switched to a new architecture that gives each soccer player a better notion of time. Preliminary results already show a large improvement in reaction time. In this position paper; we describe this architecture and briefly mention some plans for future work.

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Referenser

[1] H. Blockeel; L. De Raedt; N. Jacobs; and B. Demoen. Scaling up inductive logic programming by learning from interpretations. Data Mining and Knowledge Discovery; 3(1); 1999.

[2] N. Cossement. Robocup: developing low level skills. Master’s thesis; Department of Computer Science; Katholieke Universiteit Leuven; 1998.

[3] K. Driessens; N. Jacobs; N. Cossement; P. Monsieurs; and L. De Raedt. Inductive veri cation and validation of the KULRoT RoboCup team. In Proceedings of the second RoboCup Workshop; pages 135-150; 1998.

[4] P. Monsieurs. Developing high level skills for robocup. Master’s thesis; Department of Computer Science; Katholieke Universiteit Leuven; 1998.

[5] P. Stone andM. Veloso. A layered approach to learning client behaviours in the robocup soccer server. Applied Arti cial Intelligence; 1998.

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