Combining fuzzy rules and a neural network in an adaptive system

It has been shown that humans can rely on both rules or associations to solve a problem. We present a model in which rules may be applied to a particular sequence learning task, but rather than the rules being applied in an all-or-none fashion, a continuum from fully representing to not representing a rule is required in order to model human task performance.