Cognitive systems based on adaptive algorithms
John H. Hollanda, Judith S. Reitmana
- aUniversity of Michigan, Ann Arbor, MI
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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.
TL;DRThe type of cognitive system studied here has a set of interacting elementary productions, called classifiers, and a performance algorithm that directs the action of the system in the environment and modifies the set of classifiers so that variants of good classifiers persist and new, potentially better ones are created in a provably efficient manner. (Semantic Scholar)