Modelling a Fractionated System of Deductive Reasoning over Categorical Syllogisms

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dc.contributor.advisorGoel, Vinod
dc.creatorGiovannini, Gregory
dc.date.accessioned2018-03-01T13:43:34Z
dc.date.available2018-03-01T13:43:34Z
dc.date.copyright2017-04-24
dc.date.issued2018-03-01
dc.date.updated2018-03-01T13:43:34Z
dc.degree.disciplinePsychology(Functional Area: Developmental Science)
dc.degree.levelMaster's
dc.degree.nameMA - Master of Arts
dc.description.abstractThe study of deductive reasoning has been a major research paradigm in psychology for decades. Recent additions to this literature have focused heavily on neuropsychological evidence. Such a practice is useful for identifying regions associated with particular functions, but fails to clearly define the specific interactions and timescale of these functions. Computational modelling provides a method for creating different cognitive architectures for simulating deductive processes, and ultimately determining which architectures are capable of modelling human reasoning. This thesis details a computational model for solving categorical syllogisms utilizing a fractionated system of brain regions. Lesions are applied to formal and heuristic systems to simulate accuracy and reaction time data for bi-lateral parietal and frontotemporal patients. The model successfully combines belief-bias and other known cognitive biases with a mental models formal approach to recreate the congruency by group effect present in the human data. Implications are drawn to major theories of reasoning.
dc.identifier.urihttp://hdl.handle.net/10315/34245
dc.language.isoen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectComputer science
dc.subject.keywordsDeductive reasoning
dc.subject.keywordsComputational modelling
dc.subject.keywordsSyllogism
dc.subject.keywordsCategorical syllogism
dc.subject.keywordsReasoning
dc.subject.keywords4CAPS
dc.subject.keywordsPsychology
dc.titleModelling a Fractionated System of Deductive Reasoning over Categorical Syllogisms
dc.typeElectronic Thesis or Dissertation

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