ABSRACT: A Holland learning classifier system is one of the methods for applying a genetic-based approach to machine learning applications. An enhanced version of the system that employs the Bucket-brigade algorithm to reward individuals in a chain of co-operating rules is implemented and assigned the task of learning rules for classifying simple objects. Results are presented which show that the system was able to learn rules for the task. It is argued that a classifier based learning method requires little training examples and that by its use of genetic algorithms to search for new plausible rules, the method should be able to cope with changing conditions. However, the results appear to indicate that the use of bucket-brigade as a fitness function and as a means of rewarding rules in the type of application considered needs further investigation.