Abstract
Three classes of pattern measures were examined as predictors of latency in a five-choice discrimination task with L-shaped linear patterns. Those reflecting solely characteristics of the pattern were proved inapplicable (i.e., were not significantly related to latency) as were the measures reflecting only characteristics of the domain. Measures reflecting the, relationship of each pattern to its domain proved applicable, and the best prediction of latency was obtained when a measure was generated based on the selective shift (of attention to the maximum discriminating dimension in any single problem.
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