Probability-Enhanced Predictions in the Anticipatory Classifier System (2001)
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BibTeX
@MISC{Butz01probability-enhancedpredictions,
author = {Martin V. Butz and David E. Goldberg and Wolfgang Stolzmann and Daimlerchrysler Ag},
title = {Probability-Enhanced Predictions in the Anticipatory Classifier System},
year = {2001}
}
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Abstract
The Anticipatory Classifier System (ACS) recently showed many capabilities new to the Learning Classifier System field. Due to its enhanced rule structure with an effect part, it forms an internal environmental representation, learns latently besides the common reward learning, and can use many cognitive processes. This paper introduces a probability-enhancement in the predictions of the ACS which enables the system to handle different kinds of non-determinism in an environment. Experiments in two different...
