Article | RobocCup-99 Team Descriptions. Simulation League | KULRoT 1999 Team Description

Title:
KULRoT 1999 Team Description
Author:
Kurt Driessens: K.U.Leuven, Belgium Nico Jacobs: K.U.Leuven, Belgium Bert Robben: K.U.Leuven, Belgium
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Year:
1999
Conference:
RobocCup-99 Team Descriptions. Simulation League
Issue:
004
Article no.:
015
Pages:
69-73
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


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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.

RobocCup-99 Team Descriptions. Simulation League

Author:
Kurt Driessens, Nico Jacobs, Bert Robben
Title:
KULRoT 1999 Team Description
References:

[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.

RobocCup-99 Team Descriptions. Simulation League

Author:
Kurt Driessens, Nico Jacobs, Bert Robben
Title:
KULRoT 1999 Team Description
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