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The sequence of tests chosen by humans in two fault diagnosis tasks are described in terms of a model composed of a rank-ordered set of heuristics or rndes-of-thumb. The identification and evaluation of such models are discussed. The approach is illustrated by modeling the choices of test sequences of 118 subjects in one task and 36 in the other task. The model and subjects are found to agree somewhat over 90 percent of the time.