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Evidence Accumulation Model Insights Into Cognitive Processes

Kouassi, P. (2023). Evidence Accumulation Model Insights Into Cognitive Processes. (Unpublished Doctoral thesis, City, University of London)


This thesis covers eleven empirical studies across four topics, all relating to how the underlying information processing systems behind various behavioural effects and performances can be explored through a computational framework. Specifically, how an evidence accumulation model framework can be used to get insights into these behaviours. The thesis begins with a general introduction to the different topics and empirical studies that will be explored. After the general introduction, the second chapter explores whether the conjunction fallacy phenomenon can be transposed from its traditional descriptive scenario-based experimental context to the psychophysical domain, in order to produce datasets better suited to modelling procedures. Next an evidence accumulation model is applied to reveal the exact information processing structure that is argued to be responsible for producing the conjunction fallacy. The third chapter introduces another cognitive effect known as the interference effect. A series of experiments then explore the extent of this effect. The argument is then made that this effect functions as a constraint on theories and models attempting to explain non-normative behaviour, such as evidence accumulation models. The subsequent chapter extends the evidence accumulation model from chapter two, to the interference effect observed in chapter three. This chapter goes on to propose that a simple process account of the interference effect may provide an equally plausible explanation for this effect. The fifth chapter extends the evidence accumulation model framework to a visual search task. This is done to explore how evidence accumulation models provide insights into the main performance drivers of a task. This chapter proposes that such models can function as an additional layer of analysis, to more deeply understand performance drivers, even in tasks with simple objectives. Finally, a conclusion on the main point throughout this thesis is presented.

Publication Type: Thesis (Doctoral)
Subjects: B Philosophy. Psychology. Religion > BF Psychology
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Departments: School of Health & Psychological Sciences > Psychology
School of Health & Psychological Sciences > School of Health & Psychological Sciences Doctoral Theses
Doctoral Theses
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