Konferensartikel

UBU Team

Magnus Boman
DSV, Stockholm, Sweden

Johan Kummeneje
The DECIDE Research Group, Department of Computer and Systems Sciences, Stockholm University, Sweden

David Lybäck
The DECIDE Research Group, Department of Computer and Systems Sciences, Stockholm University, Sweden

Håkan L. Younes
The DECIDE Research Group, Department of Computer and Systems Sciences, Stockholm University, Sweden

Ladda ner artikelhttp://www.ep.liu.se/ecp_article/index.en.aspx?issue=004;article=030

Ingår i: RobocCup-99 Team Descriptions. Simulation League

Linköping Electronic Conference Proceedings 4:30, s. 133-138

Linköping Electronic Articles in Computer and Information Science 6:30, s. 133-138

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Publicerad: 1999-12-15

ISBN:

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

Abstract

The underlying research topics and the architecture of the UBU team are briefly described. The aim of developing UBU is to subject a series of tools and procedures for agent decision support to a dynamic real-time domain. The current version of the UBU team is written in Java.

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Referenser

[1] Jens Andreasen; Magnus Boman; Mats Danielson; Carl-Gustaf Jansson; Johan Kummeneje; Harko Verhagen; Johan Walter; Helena Åberg; and Åsa Åhman. Ubu: Utility-based uncertainty handling in synthetic soccer. In Minoru Asada; editor; RoboCup-98: Robot Soccer World Cup II; Proceedings of the second RoboCup Workshop; pages 379-386. RoboCup Federation; July 1998.

[2] Magnus Boman. Norms in arti cial decision making. Arti cial Intelligence and Law; 7:17-35; 1999.

[3] Magnus Boman; Paul Davidsson; Nikolaos Skarmeas; Keith Clark; and Rune Gustavsson. Energy saving and added customer value in intelligent buildings. In Hyacinth S. Nwana and Divine T. Ndumu; editors; Proceedings of PAAM98; pages 505-516. The Practical Application Company; 1998.

[4] Magnus Boman; Paul Davidsson; and Håkan Younes. Arti cial decision making under uncertainty in intelligent buildings. In Proceedings of UAI’99; 1999. In press.

[5] Rodney A. Brooks. A robust layered control structure for a mobile robot. IEEE Journal of Robotics and Automation; 1986.

[6] Henrik Engström and Johan Kummeneje. Dr abbility: Agent technology and process control. Master’s thesis; Department of Computer and Systems Sciences; Stockholm University; 1997. DSV Report 97- 49-DSV-SU.

[7] Susan Kalenka and Nicholas R. Jennings. Socially responsible decision making by autonomous agents. In Proceedings of the 5th International Colloquium on Cognitive Science; 1997.

[8] Oliver Langer. Soccer-user-library. http://www.tu-chemnitz.de/ ~hla/soccer/scu/manualscu.ps.gz; May 1997.

[9] Yoram Moses and Moshe Tennenholtz. Artificial social systems. Computers and AI; 1998(?).

[10] Stuart Russell and Peter Norvig. Artificial Intelligence - A Modern Approach. Prentice Hall; 1995.

[11] Ross D. Shachter and Mark A. Peot. Decision making using probabilistic inference methods. In the Eight Conference on Uncertainty in Artificial Intelligence; San Mateo; CA ;USA; 1992. Morgan Kaufmann.

[12] Peter Stone. Layered Learning in Multi-Agent Systems. PhD thesis; Computer Science Department; School of Computer Science; Carnegie Mellon University; December 1998.

[13] Andrew S. Tanenbaum. Computer Networks. Prentice Hall; 1996.

[14] Harko Verhagen. On the learning of norms. Submitted.

[15] Håkan L. Younes. Current tools for assisting intelligent agents in realtime decision making. Master’s thesis; Department of Computer and Systems Sciences; the Royal Institute of Technology; 1998. DSV Report 98-x-073.

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