Illinois Genetic Algorithms Laboratory

Stolzmann, W., Butz, M.V., Hoffman, J., Goldberg, D.E. (2000)
TR No.: 2000008 | Download PDF | Download PS

Abstract:

This paper adds a new viewpoint to the Anticipatory Classifier System (ACS). It approaches the system from a psychological perspective and thus provides new insights to the current system. The main learning mechanism in the ACS, the Anticipatory Learning Process (ALP), evolved out of the psychological learning theory of anticipatory behavioral control. The paper compares the ALP directly to this theory and reveals the similarities. Moreover, it investigates the behavior of the ACS. By simulating previously published rat experiments, the paper compares the behavior of the ACS with the behavior of the rats. Finally, two further cognitive mechanisms are introduced to the ACS. These two mechanisms result in an animal-like behavior of the ACS in the simulations. Furthermore, they prove the usability of the internal environmental model for reward-learning tasks for the first time.