Unified theories of cognition
C4.5: programs for machine learning
C4.5: programs for machine learning
What is wrong with us? Improving robustness through social diagnosis
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Co-evolving Soccer Softbot Team Coordination with Genetic Programming
RoboCup-97: Robot Soccer World Cup I
Using Decision Tree Confidence Factors for Multiagent Control
RoboCup-97: Robot Soccer World Cup I
Journal of Artificial Intelligence Research
The RoboCup synthetic agent challenge 97
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
RescueModel: A Multi-Agent Simulation of Bushfire Disaster Management
RoboCup 2000: Robot Soccer World Cup IV
RoboCup 2000: Robot Soccer World Cup IV
Matrix-based representation for coordination fault detection: a formal approach
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
A representation for coordination fault detection in large-scale multi-agent systems
Annals of Mathematics and Artificial Intelligence
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The RoboCup (robot world-cup soccer) effort, initiated to stimulate research in multi-agents and robotics, has blossomed into a significant effort of international proportions. RoboCup is simultaneously a fundamental research effort and a set of competitions for testing research ideas. At IJCAI'97, a broad research challenge was issued for the RoboCup synthetic agents, covering areas of multi-agent learning, teamwork and agent modeling. This paper outlines our attack on the entire breadth of the RoboCup research challenge, on all of its categories, in the form of two fielded, contrasting RoboCup teams, and two off-line soccer analysis agents. We compare the teams and the agents to generalize the lessons learned in learning, teamwork and agent modeling.