Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer
IEEE Internet Computing
Teaching undergraduate software design in a liberal arts environment using RoboCup
Proceedings of the 8th annual conference on Innovation and technology in computer science education
Using game days to teach a multiagent system class
Proceedings of the 35th SIGCSE technical symposium on Computer science education
ARES 2: a tool for evaluating cooperative and competitive multi-agent systems
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
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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.