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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University of Edinburgh
1991
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.661200 |