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The method of loci is an optimal policy for memory search

Authors
Qiong Zhang
Rutgers University, New Brunswick ~ Psychology
Kenneth A. Norman
Princeton University, United States of America
Thomas L. Griffiths
Princeton University, United States of America
Abstract

The method of loci is a powerful mnemonic technique for memorizing a list of unrelated items. With a pre-specified route in a familiar “memory palace”, one can encode material by attaching items to loci along this route, and later effectively recall them by mentally walking along the same route. Despite its efficacy, there is no existing model that explains why the method of loci promotes memory improvement during memory search. To fill this gap, we provide a rational account of why the method of loci improves memory. We define memory search as a task with the goal of minimizing retrieval cost, and demonstrate that the method of loci gives an optimal policy for this task. We discuss the implications of this result, and how it connects to the role of structural prior knowledge in facilitating new learning.

Tags

Keywords

mnemonic techniques
human memory search
rational process model

Topics

Cognitive Modeling
Memory Models
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Cite this as:

Zhang, Q., Norman, K., & Griffiths, T. (2020, July). The method of loci is an optimal policy for memory search. Paper presented at Virtual MathPsych/ICCM 2020. Via mathpsych.org/presentation/75.