Cognitive systems based on adaptive algorithms

Abstract

The type of cognitive system (CS) studied here has four basic parts: (1) a set of interacting elementary productions, called classifiers , (2) a performance algorithm that directs the action of the system in the environment, (3) a simple learning algorithm that keeps a record of each classifier's success in bringing about rewards, and (4) a more complex learning algorithm, called the genetic algorithm , that modifies the set of classifiers so that variants of good classifiers persist and new, potentially better ones are created in a provably efficient manner.