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A Computational Account of the Development of the Generalization of Shape Information.

, и . Cogn. Sci., 34 (4): 698-712 (2010)

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John E Blyth

John A. E. Anderson University of Toronto

Ursula E E Köhler

Margrit Hummel

Melanie Hummel

 

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A Solution to the Binding Problem for Compositional Connectionism., , , , , , и . AAAI Technical Report (3), FS-04-03, стр. 31-34. AAAI Press, (2004)A Computational Account of the Development of the Generalization of Shape Information., и . Cogn. Sci., 34 (4): 698-712 (2010)Toward a Process Model of Explanation with Implications for the Type-Token Problem., , и . AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence, том FS-08-06 из AAAI Technical Report, стр. 79-86. AAAI, (2008)Hierarchical Category Structures Facilitate Acquisition of Probabilistic Relational Categories., и . CogSci, cognitivesciencesociety.org, (2012)Automating the Encoding for the LISA Model of Analogy from Raw Text., и . MAICS, том 1964 из CEUR Workshop Proceedings, стр. 115-122. CEUR-WS.org, (2017)Exaggeration of Stimulus Attributes in the Representation of Relational Categories., , и . CogSci, cognitivesciencesociety.org, (2022)Dynamic Binding in a Neural Network for Shape Recognition, и . Psychological Review, 99 (3): 480--517 (1992)Probing the Mental Representation of Relation-Defined Categories., , и . CogSci, cognitivesciencesociety.org, (2021)The effects of dual verbal and visual tasks on featural vs. relational category learning., и . CogSci, cognitivesciencesociety.org, (2013)Progressive Alignment Facilitates Learning of Deterministic But Not Probabilistic Relational Categories., и . CogSci, cognitivesciencesociety.org, (2011)