A FORMAL MODEL FOR EMULATING THE GENERATION OF HUMAN KNOWLEDGE IN SEMANTIC MEMORY
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Date
2021-03
Authors
Cerone, Antonio
Pluck, Graham
Journal Title
Journal ISSN
Volume Title
Publisher
From Data to Models and Back
Abstract
The transfer of information processed by human beings from their short-term memory (STM) to their semantic memory creates two kinds of knowledge: a semantic network of associations and a structured set of rules to govern human deliberate behaviour under explicit attention. This paper focuses on the memory processes that create the first of these two kinds of knowledge. Human memory storage and processing are modeled using the Real-time Maude rewrite language. Maude’s capability of specifying complex data structures as many sorted algebras and the time features of Real-Time Maude are exploited for (1) providing a means for formalising alternative memory models, (2) modelling in silico experiments to compare and validate such models. We aim at using our model for the comparison of alternative cognitive hypothesis and theories and the analysis of interactive systems.
Description
Keywords
Type of access: Open Access, Cognitive science, Human memory models, Formal methods, Rewriting logic, Real-Time Maude
Citation
Cerone, A., & Pluck, G. (2021). A Formal Model for Emulating the Generation of Human Knowledge in Semantic Memory. From Data to Models and Back, 104–122. https://doi.org/10.1007/978-3-030-70650-0_7