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...
University of Edinburgh