One model that incorporates the Bayesian theory of concept learning is the ACT-R model, developed by John R . Anderson.
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The concept learning from positive and negative examples given by the user during a process known as " selection guessing ".
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It is difficult to make any general statements about human ( or animal ) concept learning without already assuming a particular psychological theory of concept learning.
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It is difficult to make any general statements about human ( or animal ) concept learning without already assuming a particular psychological theory of concept learning.
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Categorization tasks in which category labels are provided to the learner for certain objects are referred to as supervised classification, supervised learning, or concept learning.
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In concept learning, the change in behavior as a result of learning is not controlled by a particular stimulus but by the abstract idea of each stimulus.
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The prototype view of concept learning holds that people categorize based on one or more central examples of a given category followed by a penumbra of decreasingly typical examples.
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The prototype view of concept learning holds that people abstract out the central tendency ( or prototype ) of the examples experienced and use this as a basis for their categorization decisions.
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Concept learning also refers to a learning task in which a human or machine learner is trained to classify objects by being shown a set of example objects along with their class labels.
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Thus, concept learning is a strategy which requires a learner to compare and contrast groups or categories that contain concept-relevant features with groups or categories that do not contain concept-relevant features.
