Artificial Intelligence - Special issue on knowledge representation
The CMUnited-99 Champion Simulator Team
RoboCup-99: Robot Soccer World Cup III
Execution of Temporal Plans with Uncertainty
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Robust agent teams via socially-attentive monitoring
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
Recognizing Probabilistic Opponent Movement Models
RoboCup 2001: Robot Soccer World Cup V
Programming Robosoccer agents by modeling human behavior
Expert Systems with Applications: An International Journal
Roboskeleton: An architecture for coordinating robot soccer agents
Engineering Applications of Artificial Intelligence
A plan classifier based on Chi-square distribution tests
Intelligent Data Analysis
An overview on opponent modeling in RoboCup soccer simulation 2D
Robot Soccer World Cup XV
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In multiagent domains with adversarial and cooperative agents, team agents should be adaptive to the current environment and opponent. We introduce an online method to provide the agents with team plans that a “coach” agent generates in response to the specific opponents. The coach agent is equipped with a number of pre-defined opponent models. The coach is then able to quickly select between different models online by using a naive Bayes style algorithm, making the planning adaptive to the current adversary. The coach uses a Simple Temporal Network to represent team plans as coordinated movements among the multiple agents and it searches for an opponent-dependent plan for its teammates. This plan is then communicated to the agents, who execute the plan in a distributed fashion. The system is fully implemented in a simulated robotic soccer domain.