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Abstract:
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Classification problems with real-valued inputs still represent a challenge for Learning Classifier Systems (LCS), particularly when the training data is distributed non-uniformly or different classes cover different proportions of the input space. This motivates the design of a new LCS following an Artificial Life model. Initial results are encouraging and future work is outlined.
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