Instance theory predicts categorization decisions in the absence of categorical structure: A computational analysis of artificial grammar learning without a grammar.

Theories of categorization have historically focused on the stimulus characteristics to which people are sensitive. Artificial grammar learning (AGL) provides a clear example of this phenomenon, with theorists debating between knowledge of rules, fragments, whole strings, and so on as the basis of c...

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Publicado en:	Memory & Cognition Vol. 52; no. 1; pp. 132 - 146
Autores principales:	Curtis, E. T., Lebek, I.
Formato:	Artículo
Publicado:	Springer Nature Jan2024
Materias:	Memory Comparative grammar Learning Research funding Descriptive statistics Data analysis software
Acceso en línea:	Ver este registro en EBSCOhost