Dyna, an integrated architecture for learning, planning, and reacting
ACM SIGART Bulletin
A Teaching Strategy for Memory-Based Control
Artificial Intelligence Review - Special issue on lazy learning
Integrating Multiple Learning Strategies in First Order Logics
Machine Learning - Special issue on multistrategy learning
Colearning in Differential Games
Machine Learning
Machine Learning
On Evolving Social Systems: Communication, Speciation and Symbiogenesis
Computational & Mathematical Organization Theory
The Proportional Genetic Algorithm: Gene Expression in a Genetic Algorithm
Genetic Programming and Evolvable Machines
Population-Based Learning: A Method for Learning from Examples Under Resource Constraints
IEEE Transactions on Knowledge and Data Engineering
Genetics-Based Learning of New Heuristics: Rational Scheduling of Experiments and Generalization
IEEE Transactions on Knowledge and Data Engineering
Test and Evaluation by Genetic Algorithms
IEEE Expert: Intelligent Systems and Their Applications
A methodology for missile countermeasures optimization under uncertainty
Evolutionary Computation
Getting the Job Done in a Hostile Environment
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
A Learning Classifier Systems Bibliography
Learning Classifier Systems, From Foundations to Applications
Using Classifier Systems as Adaptive Expert Systems for Control
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
A Minimal Model of Communication for a Multi-agent Classifier System
IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
Comparison of Several Machine Learning Techniques in Pursuit-Evasion Games
RoboCup 2001: Robot Soccer World Cup V
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Advances in evolutionary computing
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Cooperative Multi-Agent Learning: The State of the Art
Autonomous Agents and Multi-Agent Systems
Emergence of genomic self-similarity in location independent representations
Genetic Programming and Evolvable Machines
Genetic learner: Discretization and fuzzification of numerical attributes
Intelligent Data Analysis
Genetic and non-genetic operators in alecsys
Evolutionary Computation
Physically realistic motion synthesis in animation
Evolutionary Computation
Scheduling of genetic algorithms in a noisy environment
Evolutionary Computation
Classifier fitness based on accuracy
Evolutionary Computation
Search-intensive concept induction
Evolutionary Computation
Forming neural networks through efficient and adaptive coevolution
Evolutionary Computation
Putting more genetics into genetic algorithms
Evolutionary Computation
An analysis of the “universal suffrage” selection operator
Evolutionary Computation
Journal of Artificial Intelligence Research
Genetic algorithms and artificial life
Artificial Life
COGIN: symbolic induction with genetic algorithms
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
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
Active rule learning using decision tree for resource management in Grid computing
Future Generation Computer Systems
Agent-Based evolutionary model for knowledge acquisition in dynamical environments
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Learning Classification Programs: The Genetic Algorithm Approach
Fundamenta Informaticae
Evolutionary Computation: Where we are and where we're headed
Fundamenta Informaticae
Humanoid robots learning to walk faster: from the real world to simulation and back
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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This paper juxtaposes the probability matching paradox of decision theory and the magnitude of reinforcement problem of animal learning theory to show that simple classifier system bidding structures are unable to match the range of behaviors required ...