David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Cognitive Science 35 (6):1162-1189 (2011)
Conceptual knowledge is acquired through recurrent experiences, by extracting statistical regularities at different levels of granularity. At a fine level, patterns of feature co-occurrence are categorized into objects. At a coarser level, patterns of concept co-occurrence are categorized into contexts. We present and test CONCAT, a connectionist model that simultaneously learns to categorize objects and contexts. The model contains two hierarchically organized CALM modules (Murre, Phaf, & Wolters, 1992). The first module, the Object Module, forms object representations based on co-occurrences between features. These representations are used as input for the second module, the Context Module, which categorizes contexts based on object co-occurrences. Feedback connections from the Context Module to the Object Module send activation from the active context to those objects that frequently occur within this context. We demonstrate that context feedback contributes to the successful categorization of objects, especially when bottom-up feature information is degraded or ambiguous
|Keywords||Top‐down context influence Concept learning Neural network Hierarchical categorization|
|Categories||categorize this paper)|
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References found in this work BETA
L. W. Barsalou (1982). Context-Independent and Context-Dependent Information in Concepts. Memory and Cognition 10:82-93.
Lawerence Barsalou & Wenchi Yeh (2006). The Situated Nature of Concepts. American Journal of Psychology 119:349-384.
Antonio R. Damasio (1989). Time-Locked Multiregional Retroactivation: A Systems-Level Proposal for the Neural Substrates of Recognition and Recall. Cognition 3 (1-2):25-62.
Bernhard Hommel, Jochen Müsseler, Gisa Aschersleben & Wolfgang Prinz (2001). The Theory of Event Coding (TEC): A Framework for Perception and Action Planning. Behavioral and Brain Sciences 24 (5):849-878.
Max M. Louwerse & Rolf A. Zwaan (2009). Language Encodes Geographical Information. Cognitive Science 33 (1):51-73.
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