Anticipatory Classifier Systems: An overview of applications

Wolfgang Stolzmann · AIP conference proceedings · 2001

In part 1 of this paper “Anticipatory Classifier Systems: An Introduction” (this volume) the current version of the Anticipatory Classifier System (ACS) was described. Now the performance of the ACS will be discussed by giving an overview of applications. Furthermore extensions of the ACS are presented, to demonstrate the variety of applications of the internal word model that is learned by the ACS. These extensions will show that the ACS can be applied in much more learning tasks than simple reinforcement learning problems.

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