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The present work describes an algorithm for human perceptual exploration of algorithmic composition systems' parameter spaces. It works by considering the values of the system parameters, together with the perceptual user evaluation of the system output corresponding to such parameter configuration, as input-output relations. Then, the algorithm iteratively searches in the data to find combinations of parameters with the same classification (evaluation) and differing only in the values of one parameter. If the absolute difference between them is less than a pre-established threshold, the combinations are compressed into one rule. The rules have the if-then standard form. As the parameters commonly express different physical dimensions (like amplitude and frequency), the threshold is set independently for each one. Finally, an example applied to the parameter space of a band limited impulse oscillator is presented.
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