RETRIEVING DYNAMICALLY AND EFFECTIVELY FROM MEMORY (D-REM): A RECOGNITION MEMORY MODEL WITH A DYNAMIC DECISION MAKING MECHANISM

Date

2024-12-13

Author

Pala, Cavit Deniz

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The aim of the current thesis was to develop a recognition memory model with a dynamic decision mechanism to simultaneously account for various findings in the recognition memory literature. Mathematical models of memory describe the storage and retrieval processes in memory as a series of operations. Retrieving Effectively from Memory (REM) is a prominent model that explains key findings in accuracy measures. However, it does not explain the course of decision making in retrieval, and does not predict response time performance. In the current study, a novel model called Retrieving Dynamically and Effectively from Memory (D-REM), which is a variant of REM, was developed to incorporate a dynamic decision making mechanism. In the model, test items are compared to the features of memory traces which are gradually activated over time. When the total evidence obtained via this comparison exceeds one of the boundaries, a response is made. The model predictions obtained through simulations for recognition tasks involving various experimental manipulations were compared to experimental data. The results demonstrated that D-REM model successfully accounted for the key findings in both accuracy and speed of response measures, including the effects of the memory strength, word frequency, response bias, and output interference. Providing a joint account for these findings, the D-REM model makes a significant contribution to memory modeling research.

Subject Keywords

recognition memory, dynamic decision making, Retrieving Effectively from Memory, modeling

URI

https://hdl.handle.net/11511/112944

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Graduate School of Social Sciences, Thesis