Declarative working memory: A bio-inspired cognitive architecture proposal. (March 2021)

• Record Type: Journal Article
• Authors: Martin, Luis; Jaime, Karina; Ramos, Félix; Robles, Francisco
• Is Part Of: Cognitive systems research. Volume 66(2021)
• Page Start: 30
• Page End: 45
• Publication Date: 2021-03
• Subjects: Cognitive architecture -- Brain model -- Working memory -- Neuroscience -- Declarative memory -- Virtual creature; 00-01 -- 99-00; Cognition -- Periodicals; Cognitive engineering (System design) -- Periodicals; Artificial intelligence -- Periodicals; 153.05
• DOI: 10.1016/j.cogsys.2020.10.014
• Languages: English
• ISSNs: 1389-0417

Abstract

Abstract: Memory is considered one of the most important functions since it allows us to code, store and retrieve knowledge. These qualities make it an indispensable function for a virtual creature. In general, memory can be classified based on the durability of the stored data in working memory and long-term memory. Working memory refers to the capacity to maintain temporarily a limited amount of information in mind, which can then be used to support various abilities, including learning, reasoning, planning and decision-making. Unlike short-term memory, working memory is not only a storage site, but it is also a framework of interacting processes that involve the temporary storage and manipulation of information in the service of performing complex cognitive activities. Declarative memory is a type of long-term memory related with the storage of facts and events. This research focuses on the development of a cognitive architecture for the type of working memory that maintains and manipulates declarative information. The construction of the model was grounded in theoretical evidence taken from cognitive sciences such as neuroscience and psychology, which gave us the components and their processes. The model was evaluated through a case study that covers the encoding, storing, and retrieval stages. Our hypothesis is that a virtual creature endowed with our working memory model will provide faster access to the information needed for the ongoing task. Therefore, it improves the planning and decision-making processes.