Toby O'Hara

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Learning Classifier Systems which build anticipations of the expected states following their actions are a focus of current research. This paper presents a mechanism by which to create learning classifier systems of this type, here using accuracy-based fitness. In particular, we highlight the supervised learning nature of the anticipatory task and amend(More)
— In this paper, we study the use of anticipation mappings in learning classifier systems. At first, we enrich the eXtended Classifier System (XCS) with two types of anticipation mappings: one based on array of perceptrons array, one based on neural networks. We apply XCS with anticipation mappings (XCSAM) to several multistep problems taken from the(More)
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