Modeling False Memory in the Deese-Roediger-McDermott Paradigm: An Approach Using Holographic Declarative Memory

The Deese-Roediger-McDermott (DRM) paradigm demonstrates how semantic associations can induce false recall and recognition (Roediger & McDermott, 1995). While cognitive architectures are able to model control processes, they often struggle with large-scale semantic representations which are required for predicting false memory. Conversely, hyperdimensional computing (HDM) approaches effectively capture semantic similarity but lack mechanisms for control processes (Reid & Jamieson, 2023; Dodhia & Metcalfe, 1999). We propose a Holographic Declarative Memory (HDM) model which integrates distributional semantics with cognitive control processes (HDM, Kelly et al., 2020) to simulate the DRM paradigm. We demonstrate that the model captures primacy and recency effects, semantically related intrusions, and the dynamic interaction between recall and recognition, thereby offering a more comprehensive view of false memory generation.

Name thesis:degree_name

Master of Cognitive Science (M.Cog.Sc.)

Level thesis:degree_level

Master's

Discipline thesis:degree_discipline

Cognitive Science

Grantor dc:publisher

Carleton University

Year dc:date.issued

2025

Author dc:creator

• Lo, Matthew Chung Hay

Statement dc:rights

• Copyright © 2025 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, distribution to students, research and scholarship. Theses may only be shared by linking to the Carleton University Institutional Repository and no part may be copied without proper attribution to the author; no part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.

Language dc:language.iso

en

DOI

10.22215/etd/2025-17033

OAI identifier oai:identifier

oai:carleton.scholaris.ca:20.500.14718/45190