<p>In the rule-based task (A), only one feature is relevant for the sorting rule (inside size). In the information-integration task (B), a combination of the two relevant features is required to classify these stimuli.</p
Three experiments investigate whether the amount of category overlap constrains the decision strateg...
conducted. Forty years of research has assumed that category learning often involves learning to sel...
Category learning performance can be influenced by many contextual factors, but the effects of these...
Two studies are reported that support the hypothesis that categories that require a multiple-unit re...
The category shift literature suggests that rule-based classification, an important form of explicit...
In category learning experiments, participants typically do not learn within-category correlations u...
Two plausible influences on category learning are presentation format and the learner’s beliefs abou...
<p>Trial to reach criterion (A) and average performance leading to criterion (B) in rule-based and i...
Classification based on multiple dimensions of stimuli is usually associated with similarity-based r...
2017 Spring.Includes bibliographical references.Category learning allows us to use previous informat...
Current theories of rules in category learning define rules as one-dimensional boundaries. However, ...
efficiently and effectively. Categories that are overlapping when represented in 1 dimensionality ma...
<p>The vertical line separating Category A and Category B represents the strategy that maximizes cat...
We examined whether the degree to which a feature is uniquely characteristic of a category can affec...
While learning is often highly specific to the exact stimuli and tasks used during training, there a...
Three experiments investigate whether the amount of category overlap constrains the decision strateg...
conducted. Forty years of research has assumed that category learning often involves learning to sel...
Category learning performance can be influenced by many contextual factors, but the effects of these...
Two studies are reported that support the hypothesis that categories that require a multiple-unit re...
The category shift literature suggests that rule-based classification, an important form of explicit...
In category learning experiments, participants typically do not learn within-category correlations u...
Two plausible influences on category learning are presentation format and the learner’s beliefs abou...
<p>Trial to reach criterion (A) and average performance leading to criterion (B) in rule-based and i...
Classification based on multiple dimensions of stimuli is usually associated with similarity-based r...
2017 Spring.Includes bibliographical references.Category learning allows us to use previous informat...
Current theories of rules in category learning define rules as one-dimensional boundaries. However, ...
efficiently and effectively. Categories that are overlapping when represented in 1 dimensionality ma...
<p>The vertical line separating Category A and Category B represents the strategy that maximizes cat...
We examined whether the degree to which a feature is uniquely characteristic of a category can affec...
While learning is often highly specific to the exact stimuli and tasks used during training, there a...
Three experiments investigate whether the amount of category overlap constrains the decision strateg...
conducted. Forty years of research has assumed that category learning often involves learning to sel...
Category learning performance can be influenced by many contextual factors, but the effects of these...
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