Structure in Semantic Memory: A Probabilistic Approach using a Continuous Response Task

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Abstract
In the continuous response (CR) task, the subject is given the name of a familiar category and must respond with category examples within a fixed time limit. The response sequence and the interresponse times are the measured variables. A general model is proposed for performance in the CR task. The time taken to generate a response is identified with the shortest search time from among a set of simultaneous search processes. Each response has a generation probability that is a function of the parameters governing the search process durations. Data involving the category “states in the United States” are used to test the model. The model accounts for the performance of nearly all individuals in these data.

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