Letter Recognition Using Holland-Style Adaptive Classifiers
Machine Learning
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Knowledge Growth in an Artificial Animal
Proceedings of the 1st International Conference on Genetic Algorithms
Improving the Performance of Genetic Algorithms in Classifier Systems
Proceedings of the 1st International Conference on Genetic Algorithms
A Critical Review of Classifier Systems
Proceedings of the 3rd International Conference on Genetic Algorithms
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Zcs: A zeroth level classifier system
Evolutionary Computation
Memory exploitation in learning classifier systems
Evolutionary Computation
Classifier fitness based on accuracy
Evolutionary Computation
A Bigger Learning Classifier Systems Bibliography
IWLCS '00 Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems
Biasing Exploration in an Anticipatory Learning Classifier System
IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
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Previously we have applied rule linkage to ZCS and shown that the resultant system demonstrates performance improvements over ZCS in a series of sequential tasks, particularly tasks which present ambiguous stimuli to the system. In this paper we show that similar benefits can be gained by applying rule linkage to the more complex XCS. We then show that the benefits of rule-linkage can be increased by further XCS specific modifications to the system's rule-linkage mechanisms.