Learning classifier systems: a complete introduction, review, and roadmap
Journal of Artificial Evolution and Applications
Printed Circuit Board Design via Organizational-Learning Agents
Applied Intelligence
Making Organizational Learning Operational: Implications from Learning Classifier Systems
Computational & Mathematical Organization Theory
RTCS: a Reactive with Tags Classifier System
Journal of Intelligent and Robotic Systems
Generalization and Generalizability Measures
IEEE Transactions on Knowledge and Data Engineering
The Fighter Aircraft LCS: A Case of Different LCS Goals and Techniques
Learning Classifier Systems, From Foundations to Applications
An Adaptive Agent Based Economic Model
Learning Classifier Systems, From Foundations to Applications
Learning Classifier Systems Meet Multiagent Environments
IWLCS '00 Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems
A Bigger Learning Classifier Systems Bibliography
IWLCS '00 Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems
How to Design Good Results for Multiple Learning Agents in Scheduling Problems?
PRIMA '99 Proceedings of the Second Pacific Rim International Workshop on Multi-Agents: Approaches to Intelligent Agents
Rationality of Reward Sharing in Multi-agent Reinforcement Learning
PRIMA '99 Proceedings of the Second Pacific Rim International Workshop on Multi-Agents: Approaches to Intelligent Agents
Comparison of Several Machine Learning Techniques in Pursuit-Evasion Games
RoboCup 2001: Robot Soccer World Cup V
Application of Episodic Q-Learning to a Multi-agent Cooperative Task
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Recent trends in learning classifier systems research
Advances in evolutionary computing
Biologically inspired rule-based multiset programming paradigm for soft-computing
Proceedings of the 1st conference on Computing frontiers
Local Reinforcement and Recombination in Classifier Systems
Evolutionary Computation
Emergence of Cooperation: State of the Art
Artificial Life
Physically realistic motion synthesis in animation
Evolutionary Computation
Memory exploitation in learning classifier systems
Evolutionary Computation
Classifier fitness based on accuracy
Evolutionary Computation
Adaptive learning of process control and profit optimization using a classifier system
Evolutionary Computation
A symbiotic genetic algorithm with local-and-global mapping search for reinforcement fuzzy control
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Learning classifier systems: a complete introduction, review, and roadmap
Journal of Artificial Evolution and Applications
Genetic team composition and level of selection in the evolution of cooperation
IEEE Transactions on Evolutionary Computation
Generation of roles in reinforcement learning considering redistribution of reward between agents
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Experience-based reinforcement learning to acquire effective behavior in a multi-agent domain
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Evolution of altruistic robots
WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
Empirical analysis of an on-line adaptive system using a mixture of Bayesian networks
Information Sciences: an International Journal
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Machine learning for intelligent systems
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Distributed agent evolution with dynamic adaptation to local unexpected scenarios
WRAC'05 Proceedings of the Second international conference on Radical Agent Concepts: innovative Concepts for Autonomic and Agent-Based Systems
Parallel distributed profit sharing for PC cluster
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Activity-based credit assignment (ACA) in hierarchical simulation
Proceedings of the 2012 Symposium on Theory of Modeling and Simulation - DEVS Integrative M&S Symposium
Learning Classification Programs: The Genetic Algorithm Approach
Fundamenta Informaticae
Emotion-oriented agent in mental state transition learning network
International Journal of Computational Intelligence Studies
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In rule discovery systems, learning often proceeds by first assessing the quality of the system's current rules and then modifying rules based on that assessment. This paper addresses the credit assignment problem that arises when long sequences of rules fire between successive external rewards. The focus is on the kinds of rule assessment schemes which have been proposed for rule discovery systems that use genetic algorithms as the primary rule modification strategy. Two distinct approaches to rule learning with genetic algorithms have been previously reported, each approach offering a useful solution to a different level of the credit assignment problem. We describe a system, called RUDI, that exploits both approaches. We present analytic and experimental results that support the hypothesis that multiple levels of credit assignment can improve the performance of rule learning systems based on genetic algorithms.