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The study investigates the role of similarity in artificial grammar learning (AGL) using a similarity-based exemplar model, the generalized context model (GCM). Three experiments were conducted with various stimuli to assess how similarity affects grammaticality judgments, revealing that existing theories of AGL are incomplete without considering similarity processes. The findings suggest that understanding AGL in the context of categorization research can enhance theoretical explanations of learning and ca
- Author
- editowy1507
- Language
- EN