Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 26 for “"category learning"”.
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Connectionist Modelling of Category Learning
… of exemplar-based connectionist models of category learning to offer accounts of learning about stimuli with variable dimensionality. Models which may simulate these tasks, such as the configural-cue network (Gluck & Bower, 1988b), appear to be unable to accurately simulate certain data …
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Comparing comparisons in category learning
Comparisons are central to category learning; yet very little research has been done to understand how comparisons affect what people learn. Prior work has established that different ways of learning affect what information learners acquire, suggesting that different types of comparisons may also …
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Alignability and Prior Knowledge in Category Learning
… of structural alignment and prior knowledge in category learning. Structural alignment (Gentner, 1983, 1989) is a theory that claims that similarity comparisons entail a process of aligning the components of the things being compared, determining what corresponds to what. The experiments …
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Unsupervised syntactic category learning from child-directed speech
… results of three established automatic syntactic category learning algorithms on a small, edited input set of child-directed speech from the CHILDES database. Hierarchical clustering, K-Means analysis, and an implementation of a substitution algorithm are all used to assign syntactic categories to …
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Critique of a dual-system model of category learning
Some researchers have argued that the category learning literature is conclusive: people learn to generalise from past experiences to novel ones using multiple learning systems (Ashby & Maddox, 2011). To the extent that this claim is true, it is due in no small part to work investigating the …
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Unsupervised Phonetic Category Learning from Audio and Visual Input
… research has primarily modeled phonetic category learning as a function of only auditory input. In this thesis, I investigate whether multimodal information benefits phonetic category learning under a clustering model. Due to the lack of an appropriate dataset, I also introduce a method …
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Behavioural and neural dynamics of category learning across the menstrual cycle
… multimodal account of menstrual cycle effects on category learning – a core cognitive process that requires careful coordination of learning, memory and attention. Study 1 outlines a novel method for studying cognition across the menstrual cycle, and leverages it to demonstrate that category …
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An investigation into the formation of representational associations in visual category learning
Category learning allows us to use previous information we have accumulated, and extend it to new situations. Multiple systems are proposed to underlie learning, including: an explicit, rule-based system, and an implicit, procedural system. Information integration tasks are thought to load heavily …
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Building BRIDGES : combining analogy and category learning to learn relation-based categories
The field of category learning is replete with theories that detail how similarity and comparison based processes are used to learn categories, but these theories are limited to cases in which item and category representations consist of feature vectors. This precludes these methods from learning …
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Cue competition and feature representation in a category learning task: an fMRI study
During learning, attention is limited, and therefore selecting what feature(s) to attend to in the environment is important. Sometimes, attention is captured by a cue or feature in such a way that other cues or features are not attended to, known as overshadowing. This process is not entirely …
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A Thing Is What We Say It Is: Referential Communication and Indirect Category Learning
… significance of those objects during an indirect category learning activity. During the learning task, participants worked either individually or as cooperative dyads to learn four combinations of orthogonal functional features—nutritive vs. not nutritive and destructive vs. not destructive—that …
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Probabilistic category learning and memory systems functioning in those at-risk for alcohol abuse.
… perform worse on the WPT, as well as a reversal learning component of the WPT. We also examined the relationship between executive functioning and WPT performance as well as if impulsivity was related to WPT performance. Overall our results did not confirm our primary hypotheses. However, our …
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Experiencing language in the order that children do: Training on age-ordered child-directed speech facilitates semantic category learning in a recurrent neural network
Previous work has shown that semantic category knowledge can be captured by a distributional learning algorithm operating over naturalistic, noisy child-directed speech (Huebner & Willits, 2018). In chapter 1 of this work, I discuss the algorithm behind this study, and its ability to represent …
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Learning and representation of relational categories
Relation-based category learning is based on very different principles than feature-based category learning. It has been shown that relational categories are learned by a process akin to structured intersection discovery, which is formally powerful than feature-based associative learning, but which …
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The Effect of the Cross-Classification of Items on Category Knowledge
… The studies in this dissertation focus on how learning a later classification affects knowledge related to an earlier classification of an item. Using this framework, five experiments investigate the interaction between prior knowledge, knowledge of the initial classification, and subsequent …
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Interactions between global and local performance incentives on decision-making and categorization
… performance incentives using two types of category-learning tasks. I test the hypothesis that increasing performance pressure will induce an avoidance-based prevention focus which then interacts with the local mechanism of goal pursuit employed in the task (maximizing points gained or …
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Understanding the Impact of Differentiation and Unitization on the Perceptual Features Learned During Category Training
… are modified through two perceptual learning processes, differentiation and unitization, in the context of category learning. First, we review the empirical evidence for perceptual learning with a focus on the evidence for unitization and differentiation processes in the context of …
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Optimizing lexical learning by manipulating phonological training
… phonological training environments on learning novel words in adulthood. Adults who learn non-native phonological categories are thought to utilize two main types of strategies. A reflective strategy involves developing explicit rules for categorizing sounds, whereas a reflexive …
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Learning ability in post-stroke aphasia : success, strategy use and implications for therapy
… treatment to individuals. We hypothesize that learning represents a critical, underexplored factor in aphasia rehabilitation. Predicting whether a patient will improve following therapy may depend more upon that individual's ability to learn new information in general than upon a specific …
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The Motivated Creation and Use of Social Categories
… material benefits may shape attention to social category dimensions. I outline potential cognitive mechanisms through which these motivations may act, before discussing the implications of the model. In chapter 3, I examine how environmental factors interact with motivations to shape reliance on …
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