A general theory of retrieval from long-term memory which combines features of associative network models and random search models is presented. It posits cue-dependent probabilistic sampling and recovery from an associative network, but the network is specified as a retrieval structure rather than a storage structure. (Author/JKS)

Four experiments tested the predictions made by the model outlined in A. H. Criss and R. M. Shiffrin (2004b). Participants studied 2 successive lists of pairs followed by a recognition memory test for the most recent list. Some items and some pairs were repeated across the 2 lists. Critically, a given item could be repeated in the same or…

The Search of Associative Memory (SAM) model for recall is extended by assuming that a familiarity process is used for recognition. The model, formalized in a computer simulation program, correctly predicts a number of findings in the literature as well as results from an experiment on the word-frequency effect. (Author/BW)