Computational Models of Memory Search
Posted: 16 Jan 2020
Date Written: January 2020
Abstract
The capacity to search memory for events learned in a particular context stands as one of the most remarkable feats of the human brain. How is memory search accomplished? First, I review the central ideas investigated by theorists developing models of memory. Then, I review select benchmark findings concerning memory search and analyze two influential computational approaches to modeling memory search: dual-store theory and retrieved context theory. Finally, I discuss the key theoretical ideas that have emerged from these modeling studies and the open questions that need to be answered by future research.
Suggested Citation: Suggested Citation
Kahana, Michael J., Computational Models of Memory Search (January 2020). Annual Review of Psychology, Vol. 71, pp. 107-138, 2020, Available at SSRN: https://ssrn.com/abstract=3520444 or http://dx.doi.org/10.1146/annurev-psych-010418-103358
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