David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
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)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
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.
Citations of this work BETA
No citations found.
Similar books and articles
Jose Bermudez (2007). The Object Properties Model of Object Perception: Between the Binding Model and the Theoretical Model. Journal of Consciousness Studies 14 (s 9-10):43-65.
Alexandra D. Twyman & Nora S. Newcombe (2010). Five Reasons to Doubt the Existence of a Geometric Module. Cognitive Science 34 (7):1315-1356.
Shimon Edelman (1998). Things Are What They Seem. Behavioral and Brain Sciences 21 (1):25-25.
Ben Caplan (2003). Putting Things in Contexts. Philosophical Review 112 (2):191-214.
François Recanati (2013). Perceptual Concepts: In Defence of the Indexical Model. Synthese 190 (10):1841-1855.
Philippe G. Schyns, Robert L. Goldstone & Jean-Pierre Thibaut (1998). The Development of Features in Object Concepts. Behavioral and Brain Sciences 21 (1):1-17.
T. Goschke & Dirk Koppelberg (1991). The Concept of Representation and the Representation of Concepts in Connectionist Models. In William Ramsey, Stephen P. Stich & D. Rumelhart (eds.), Philosophy and Connectionist Theory. Lawrence Erlbaum 129--161.
David E. W. Fenner (2010). Context Building and Educating Imaginative Engagement. Journal of Aesthetic Education 44 (3):109-123.
Joanna J. Bryson (2002). Language Isn't Quite That Special. Behavioral and Brain Sciences 25 (6):679-680.
Eugene S. Hunn (1998). Atran's Biodiversity Parser: Doubts About Hierarchy and Autonomy. Behavioral and Brain Sciences 21 (4):576-577.
Added to index2011-05-05
Total downloads16 ( #154,465 of 1,699,807 )
Recent downloads (6 months)5 ( #128,702 of 1,699,807 )
How can I increase my downloads?