{"id":{"repo_id":"carleton","oai_identifier":"oai:carleton.scholaris.ca:20.500.14718/45190"},"canonical_url":"https://search.dev.ndltd.org/etd/carleton/oai:carleton.scholaris.ca:20.500.14718/45190","repository":{"repo_id":"carleton","name":"Carleton University","base_url":"https://carleton.scholaris.ca/server/oai/request"},"display":{"title":"Modeling False Memory in the Deese-Roediger-McDermott Paradigm: An Approach Using Holographic Declarative Memory","abstract":"The Deese-Roediger-McDermott (DRM) paradigm demonstrates how semantic associations can induce false recall and recognition (Roediger &amp; 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 &amp; Jamieson, 2023; Dodhia &amp; 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.","abstract_html":"The Deese-Roediger-McDermott (DRM) paradigm demonstrates how semantic associations can induce false recall and recognition (Roediger &amp;amp; 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 &amp;amp; Jamieson, 2023; Dodhia &amp;amp; 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.","abstract_has_math":false,"creators":["Lo, Matthew Chung Hay"],"institution":"Carleton University","degree_name":"Master of Cognitive Science (M.Cog.Sc.)","degree_level":"Master&apos;s","degree_discipline":"Cognitive Science","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025","date_published":"2025","updated_at":"2026-07-24T01:34:20Z","subjects":[],"languages":["en"],"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."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.doi","label":"DOI","values":["10.22215/etd/2025-17033"],"render_values":[{"text":"10.22215/etd/2025-17033","href":"https://doi.org/10.22215/etd/2025-17033","code":true}]}]},"links":{"outbound_url":"https://hdl.handle.net/20.500.14718/45190","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Lo, Matthew Chung Hay"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2026-07-22T18:39:56Z"]},{"key":"dc:date.issued","label":"Date","values":["2025"]},{"key":"dc:publisher","label":"Institution","values":["Carleton University"]},{"key":"dc:type","label":"Dc Type","values":["thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Cognitive Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Master&apos;s"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Cognitive Science (M.Cog.Sc.)"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright © 2025 the author(s). 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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 &amp; Jamieson, 2023; Dodhia &amp; 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."]},{"key":"dc:title","label":"Title","values":["Modeling False Memory in the Deese-Roediger-McDermott Paradigm: An Approach Using Holographic Declarative Memory"]}]}],"canonical_facts":{"dc:creator":["Lo, Matthew Chung Hay"],"dc:date.accessioned":["2026-07-22T18:39:56Z"],"dc:date.issued":["2025"],"dc:description.abstract":["The Deese-Roediger-McDermott (DRM) paradigm demonstrates how semantic associations can induce false recall and recognition (Roediger &amp; 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 &amp; Jamieson, 2023; Dodhia &amp; 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."],"dc:identifier.doi":["10.22215/etd/2025-17033"],"dc:identifier.uri":["https://hdl.handle.net/20.500.14718/45190"],"dc:language.iso":["en"],"dc:publisher":["Carleton University"],"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."],"dc:title":["Modeling False Memory in the Deese-Roediger-McDermott Paradigm: An Approach Using Holographic Declarative Memory"],"dc:type":["thesis"],"thesis:degree_discipline":["Cognitive Science"],"thesis:degree_level":["Master&apos;s"],"thesis:degree_name":["Master of Cognitive Science (M.Cog.Sc.)"]},"updated_at":"2026-07-24T01:34:20Z"}