Inhalt
Lamberts, Koen & Shanks, David: Introduction
Heit, Evan: Knowledge and concept learning
Hahn, Ulrike & Chater, Nick: Concepts and simularity
Murphy, Gregory L. & Lassaline, Mary E.: Hierarchical structure in concepts and the basic level of categorization
Hampton, James: Conceptual combination
Smith, Linda B. & Samuelson, Larissa K.: Perceiving and remembering: Category stability, variability and development
Shanks, David R.: Distributed representations and implicit knowledge: A brief introduction
Knowlton, Barbara: Declarative and nondeclarative knowledge: Insights from cognitive neuroscience
Goschke, Thomas: Implicit learning and unconscious knowledge: Mental representation, computational mechanisms, and brain structures
Whittlesea, Bruce W. A.: The representation of general and particular knowledge
Lamberts, Koen: Process models of categorization
Busemeyer, Jerome R., Byun, Eunhee, Delosh, Edward L. & Mark A. McDaniel: Learning functional relations based on experience with input-output pairs by humans and artificial neural networks
Storms, Gert & De Boeck, Paul: Formal models for intra-categorical structure that can be used for data analysis
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