A Cognitive Model of the Generation of Singular Concepts and the Mental Systems Involved
Skip to main content
eScholarship
Open Access Publications from the University of California

A Cognitive Model of the Generation of Singular Concepts and the Mental Systems Involved

Abstract

Psycholinguistics is the study of how neuroanatomical processes influence language acquisition, language structure, and language use (Menn & Dronkers, 2017). According to the field of psycholinguistics, a concept is represented in the mind and is different from the word associated with those representations. Representational theory of mind seeks to explain concepts through symbols and models of cognitive processes (Williams, 1984). In order to be relevant from a psychological standpoint, representational theory of mind must utilize a computational model rather than focus on individual beliefs. Many different theories use a representational model to explore how individuals acquire and categorize concepts. The aim of this study is to develop a theoretical cognitive model—titled the Semantic-Phonological Association Network (SPAN)—of singular concept generation. While developing SPAN, an examination of the current literature and different theories of models relating to concept generation are used as the foundation for the research. For example, Pinker’s “Why We Curse” explores the relationship between the phonetics of swear words and the physical manifestations they represent (Pinker, 2007). It is necessary to represent the phonological and semantic networks as separate but intricately connected systems. SPAN seeks to symbolize the connection between the phonological and semantic system. The main goal is to establish auditory-semantic priming effects from the relationship between the mental systems and introduce a nuanced version about how one is able to generate singular concepts that contain semantic, phonological and lexical information.You can find our presentation link here:

https://drive.google.com/file/u/2/d/1vRzU6wGm5Di0GQZclCa3VK34JWlOYmY0/view

Main Content
For improved accessibility of PDF content, download the file to your device.
Current View