On the notion of similarity in case based reasoning and fuzzy theory
Soft computing in case based reasoning
Extending some Concepts of CBR - Foundations of Case Retrieval Nets
Case-Based Reasoning Technology, From Foundations to Applications
AT Humboldt - Development, Practice and Theory
RoboCup-97: Robot Soccer World Cup I
Fault-Tolerant Self Localization by Case-Based Reasoning
RoboCup 2000: Robot Soccer World Cup IV
Layered learning in multiagent systems
Layered learning in multiagent systems
CBRRoboSoc: An Efficient Planning Strategy for Robotic Soccer Using Case Based Reasoning
CIMCA '06 Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce
Acquiring a robust case base for the robot soccer domain
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
CBR for state value function approximation in reinforcement learning
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Retrieving and reusing game plays for robot soccer
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Exploiting Past Experience --- Case-Based Decision Support for Soccer Agents
KI '07 Proceedings of the 30th annual German conference on Advances in Artificial Intelligence
Case-Based Multiagent Reinforcement Learning: Cases as Heuristics for Selection of Actions
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Agent Oriented Techniques for Programming Autonomous Robots
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
An approach to close the gap between simulation and real robots
SIMPAR'10 Proceedings of the Second international conference on Simulation, modeling, and programming for autonomous robots
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Soccer playing robots are a well established test bed for the development of artificial intelligence for use in real environments. The challenges include perception, decision making and acting in a dynamic environment with only unreliable and partial information. Behaviors and skills for such environments must be optimized by experiences. Case Based Reasoning provides an excellent framework for learning as discussed in this paper.