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Type: Theses
Title: From simple to complex categories: how structure and label information guides the acquisition of category knowledge
Author: Vong, Wai Keen
Issue Date: 2018
School/Discipline: School of Psychology
Abstract: Categorization is a fundamental ability of human cognition, translating complex streams of information from the all of different senses into simpler, discrete categories. How do people acquire all of this category knowledge, particularly the kinds of rich, structured categories we interact with every day in the real-world? In this thesis, I explore how information from category structure and category labels influence how people learn categories, particular for the kinds of computational problems that are relevant to real-world category learning. The three learning problems this thesis covers are: semi-supervised learning, structure learning and category learning with many features. Each of these three learning problems presents a different kinds of learning challenge, and through a combination of behavioural experiments and computational modeling, this thesis illustrates how the interplay between structure and label information can explain how humans can acquire richer kinds of category knowledge.
Advisor: Ma-Wyatt, Anna
Dissertation Note: Thesis (Ph.D.) (Research by Publication) -- University of Adelaide, School of Psychology, 2018
Keywords: Research by publication
cognitive psychology
category learning
computational modelling
Provenance: This electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exceptions. If you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at:
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