Classifier systems for situated autonomous learning

The ability to learn from experience is a key aspect of intelligence. Incorporating this ability into a computer is a formidable problem. Genetic algorithms coupled to learning classifier systems are powerful tools for tackling this task. While genetic algorithms can be shown to be near optimal solu...

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Bibliographic Details
Main Author: Roberts, Gary Allen
Published: University of Edinburgh 1991
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