Induction: processes of inference, learning, and discovery
Induction: processes of inference, learning, and discovery
Bucket brigade performance: I. Long sequences of classifiers
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Bucket brigade performance: II. Default hierarchies
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
A tale of two classifier systems
Machine Language
The emergence of coupled sequences of classifiers
Proceedings of the third international conference on Genetic algorithms
The emergence of default hierarchies in learning classifier systems
Proceedings of the third international conference on Genetic algorithms
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Boom, bust, and failures to learn in experimental markets
Management Science
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Pattern-Directed Inference Systems
Pattern-Directed Inference Systems
Proceedings of the 3rd International Conference on Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Classifier systems and economic modeling
APL '96 Proceedings of the conference on Designing the future
Genetic algorithms: APL2 implementation and a real life application
APL '96 Proceedings of the conference on Designing the future
A Learning Classifier Systems Bibliography
Learning Classifier Systems, From Foundations to Applications
A Bigger Learning Classifier Systems Bibliography
IWLCS '00 Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems
CAFISS: a complex adaptive framework for immune system simulation
Proceedings of the 2005 ACM symposium on Applied computing
Strategy of global asset allocation using extended classifier system
Expert Systems with Applications: An International Journal
Speedup character-based matching in learning classifier systems with Xor
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
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A Holland classifier system is an adaptive, general purpose machine learning system which is designed to operate in noisy environments with infrequent and often incomplete feedback. Examples of such environments are financial markets, stock management systems, or chemical processes. In financial markets, a Holland classifier system would develop trading strategies, in a stock management system order heuristics, and in a chemical plant it would perform process control. In this paper we describe a Holland classifier system and present the implementation of its components, namely the production system, the bucket brigade algorithm, the genetic algorithm, and the cover detector, cover effector and triggered chaining operator. Finally, we illustrate the working of a Holland classifier system by learning to find a path with a high payoff in a simple finite state world.