In Silico Simulations and Analysis of Human Phonological Working Memory Maintenance and Learning Mechanisms with Behavior and Reasoning Description Language (BRDL)

Antonio Cerone, Diana Murzagaliyeva, Nuray Nabiyeva, Ben Tyler, Graham Pluck

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

Human memory systems are commonly divided into different types of store, the most basic distinction being between short-term memory (STM) and long-term memory (LTM). Phonological STM, as proposed in the working memory model is closely linked to semantic LTM. Nevertheless, the mechanisms of maintenance with STM, and transfer of information with LTM are poorly understood. Candidate mechanisms within phonological STM are rehearsal (either articulatory or elaborative), and refreshing. There is also evidence of long-term learning within STM. In this paper we use the Behavior and Reasoning Descriptive Language (BRDL) to model human memory contents as well as the perceptions that allow humans to input information into STM. By using the Maude rewrite system to provide semantics to BRDL and dynamics to BRDL models, we can explore various cognitive theories about phonological STM maintenance and transfer of information for long-term retention, such as articulatory rehearsal, elaborative rehearsal, and refreshing. This approach has been implemented in a tool that allows cognitive scientists to carry out in silico the simulation of learning processes as well as the replication of experiments conducted with human beings in order to contrast alternative cognitive theories.

Idioma originalInglés
Título de la publicación alojadaSoftware Engineering and Formal Methods. SEFM 2021 Collocated Workshops - CIFMA, CoSim-CPS, OpenCERT, ASYDE, Revised Selected Papers
EditoresAntonio Cerone, Marco Autili, Alessio Bucaioni, Cláudio Gomes, Pierluigi Graziani, Maurizio Palmieri, Marco Temperini, Gentiane Venture
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas37-52
Número de páginas16
ISBN (versión impresa)9783031124280
DOI
EstadoPublicada - 2022
Publicado de forma externa
EventoWorkshops on CIFMA, CoSim-CPS, OpenCERT, and ASYDE 2021, collocated with the 19th International Conference on Software Engineering and Formal Methods, SEFM 2021 - Virtual, Online
Duración: 6 dic. 202110 dic. 2021

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen13230 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

ConferenciaWorkshops on CIFMA, CoSim-CPS, OpenCERT, and ASYDE 2021, collocated with the 19th International Conference on Software Engineering and Formal Methods, SEFM 2021
CiudadVirtual, Online
Período6/12/2110/12/21

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