An example of the effect of exposure to more or less variability when learning to identify what the letter ‘A’ looks like. (IMAGE)
Caption
An example of the effect of exposure to more or less variability when learning to identify what the letter ‘A’ looks like. Initial training items are shown in the center circle of each panel, and the color gradient symbolizes generalization performance: greater accuracy and/or certainty in our generalization is represented by shades of yellow, while lower accuracy and/or certainty in our generalization is represented by shades of blue. Less variability during initial training (Panel A) can cause learners to form more conservative hypotheses about what the letter ‘A’ can look like, resulting in narrower generalization to less frequent instances of the letter 'A'. More variable examples during initial training (Panel B) will result in broader hypotheses/categorization, and will enable learners to more accurately and/or more certainly classify different instances of the letter 'A' encountered later.
Credit
Limor Raviv
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