Article

Biter: A Platform for the Teaching and Research of Multiagent Systems' Design Using RoboCup

Authors:

Paul A. Buhler,

José M. VidalAuthors Info & Claims

RoboCup 2001: Robot Soccer World Cup V

Pages 299 - 304

Published: 01 January 2002 Publication History

Abstract

We introduce Biter, a platform for the teaching and research of multiagent systems' design. Biter implements a client for the RoboCup simulator. It provides users with the basic functionality needed to start designing sophisticated RoboCup teams. Some of its features include a world model with absolute coordinates, a graphical debugging tool, a set of utility functions, and a Generic Agent Architecture (GAA) with some basic behaviors such as "dribble ball to goal" and "dash to ball". The GAA incorporates an elegant object-oriented design meant to handle the type of activities typical for an agent in a multiagent system. These activities include reactive responses, long-term behaviors, and conversations with other agents. We also discuss our initial experiences using Biter as a pedagogical tool for teaching multiagent systems' design.

References

[1]

Biter: A robocup client. http://source.cse.sc.edu/biter/.

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[2]

Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides. Design Patterns : Elements of Reusable Object-Oriented Software . Addison-Wesley, 1995.

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[3]

Peter Stone. Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer . The MIT Press, 2000.

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[4]

José M. Vidal, Paul A. Buhler, and Michael N. Huhns. Inside an agent. IEEE Internet Computing , 5(1), January-February 2001.

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Cited By

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Denzinger JKidney J(2005)ARES 2Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence10.1007/11424918_5(38-42)Online publication date: 9-May-2005
https://dl.acm.org/doi/10.1007/11424918_5
Soh LJoyce DKnox DDann WNaps T(2004)Using game days to teach a multiagent system classProceedings of the 35th SIGCSE technical symposium on Computer science education10.1145/971300.971378(219-223)Online publication date: 3-Mar-2004
https://dl.acm.org/doi/10.1145/971300.971378
Soh L(2004)Using game days to teach a multiagent system classACM SIGCSE Bulletin10.1145/1028174.97137836:1(219-223)Online publication date: 1-Mar-2004
https://dl.acm.org/doi/10.1145/1028174.971378
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Index Terms

Biter: A Platform for the Teaching and Research of Multiagent Systems' Design Using RoboCup
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Multi-agent systems

Index terms have been assigned to the content through auto-classification.

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RoboCup 2001: Robot Soccer World Cup V

January 2002

757 pages

ISBN:3540439129

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Springer-Verlag

Berlin, Heidelberg

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Published: 01 January 2002

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Denzinger JKidney J(2005)ARES 2Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence10.1007/11424918_5(38-42)Online publication date: 9-May-2005
https://dl.acm.org/doi/10.1007/11424918_5
Soh LJoyce DKnox DDann WNaps T(2004)Using game days to teach a multiagent system classProceedings of the 35th SIGCSE technical symposium on Computer science education10.1145/971300.971378(219-223)Online publication date: 3-Mar-2004
https://dl.acm.org/doi/10.1145/971300.971378
Soh L(2004)Using game days to teach a multiagent system classACM SIGCSE Bulletin10.1145/1028174.97137836:1(219-223)Online publication date: 1-Mar-2004
https://dl.acm.org/doi/10.1145/1028174.971378
Huang TSwenton FDagdilelis VSatratzemi MBoyle REvangelidis G(2003)Teaching undergraduate software design in a liberal arts environment using RoboCupProceedings of the 8th annual conference on Innovation and technology in computer science education10.1145/961511.961544(114-118)Online publication date: 30-Jun-2003
https://dl.acm.org/doi/10.1145/961511.961544
Huang TSwenton F(2003)Teaching undergraduate software design in a liberal arts environment using RoboCupACM SIGCSE Bulletin10.1145/961290.96154435:3(114-118)Online publication date: 30-Jun-2003
https://dl.acm.org/doi/10.1145/961290.961544

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Cited By

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Recommendations

A Plan Based Coalition Formation Model for Multi-agent Systems

Development of a code generation system for control agents

Autonomy-oriented computing (AOC): formulating computational systems with autonomous components

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