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Biter: A Platform for the Teaching and Research of Multiagent Systems’ Design Using RoboCup
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Biter: A Platform for the Teaching and Research of Multiagent Systems’ Design Using RoboCup
Paul Buhler4 and José M. Vidal5 
| (4) |
Computer Science, College of Charleston, 66 George Street, Charleston, SC, 29424 |
| (5) |
Computer Science and Engineering, University of South Carolina, Columbia, SC, 29208 |
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.
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