Modelling the Accuracy Rates of Spatial Relational Reasoning Problems: An Analysis Facilitating ACT-R and PRISM Theory

It appears your Web browser is not configured to display PDF files. Download adobe Acrobat or click here to download the PDF file.

Click here to download the PDF file.


Turcas, Nicolas Valentin




This thesis models the effects of errors of omission and commission due to increased working memory demands on accuracy rates of spatial relational reasoning problems. The questions modelled are taken from the Multidimensional Relational Reasoning Task (Cortes et al., 2021). Four models were created using Python ACT-R and PRISM theory which demonstrated the negative relationship of increased premises and dimensions per problem on accuracy rates. Results highlight the need for future modelling to consider the individual differences in micro-strategy preferences, how reasoning processes may be affected by different memory errors, and how future measures may be constructed to better address raised concerns.


Cognitive science




Carleton University

Thesis Degree Name: 

Master of Cognitive Science: 

Thesis Degree Level: 


Thesis Degree Discipline: 

Cognitive Science

Parent Collection: 

Theses and Dissertations

Items in CURVE are protected by copyright, with all rights reserved, unless otherwise indicated. They are made available with permission from the author(s).