Learning classifier systems: then and now
Broadly conceived as computational models of cognition and tools for modeling complex adaptive systems, later extended for use in adaptive robotics, and today also applied to effective classification and data-miningwhat has happened to learning classifier systems in the last decade? This paper addresses this question by examining the current state of learning classifier system research.
learning classifier systems classification genetics-based machine learning reinforcement learning