Treffer: Rule use in character classification: Are serial and parallel processing discrete?

Contrary to predictions of a stochastic self-terminating search model, choice reaction times were lower for rulebound positive sets than for nonrulebound positive sets when memory set sizes were varied and stimulus probabilities were held constant. The result suggests that rule use and chunking, as opposed to probability alone, facilitate character classification. As a corollary, it is proposed that serial and parallel processing differ in degree rather than in kind. The extent to which the memory set has been chunked is the critical variable affecting Ss' scanning practices. [ABSTRACT FROM AUTHOR]

Copyright of Memory & Cognition is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)