David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Cognitive Science 35 (7):1329-1351 (2011)
Cognitive architectures are unified theories of cognition that take the form of computational formalisms. They support computational models that collectively account for large numbers of empirical regularities using small numbers of computational mechanisms. Empirical coverage and parsimony are the most prominent criteria by which architectures are designed and evaluated, but they are not the only ones. This paper considers three additional criteria that have been comparatively undertheorized. (a) Successful architectures possess subjective and intersubjective meaning, making cognition comprehensible to individual cognitive scientists and organizing groups of like-minded cognitive scientists into genuine communities. (b) Successful architectures provide idioms that structure the design and interpretation of computational models. (c) Successful architectures are strange: They make provocative, often disturbing, and ultimately compelling claims about human information processing that demand evaluation
|Keywords||Psychology Computer simulation Philosophy of science Symbolic computational modeling Philosophy of computation Artificial intelligence Neural networks Cognitive architecture|
|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
Erik M. Altmann & J. Gregory Trafton (2002). Memory for Goals: An Activation‐Based Model. Cognitive Science 26 (1):39-83.
David Caplan, Catherine Baker & Francois Dehaut (1985). Syntactic Determinants of Sentence Comprehension in Aphasia. Cognition 21 (2):117-175.
Albert Einstein, Boris Podolsky & Nathan Rosen (1935). Can Quantum-Mechanical Description of Physical Reality Be Considered Complete? Physical Review (47):777-780.
Citations of this work BETA
No citations found.
Similar books and articles
Ron Sun (2004). Desiderata for Cognitive Architectures. Philosophical Psychology 17 (3):341-373.
Niels Taatgen & John R. Anderson (2010). The Past, Present, and Future of Cognitive Architectures. Topics in Cognitive Science 2 (4):693-704.
Carlos Hernandez, Ricardo Sanz & Ignacio Lopez, Consciosusness in Cognitive Architectures. A Principled Analysis of Rcs, Soar and Act-R.
Richard P. Cooper (2006). Cognitive Architectures as Lakatosian Research Programs: Two Case Studies. Philosophical Psychology 19 (2):199-220.
Prasad Tadepalli (2003). Cognitive Architectures Have Limited Explanatory Power. Behavioral and Brain Sciences 26 (5):622-623.
Bernard J. Baars (2006). Conscious Cognition and Blackboard Architectures. Behavioral and Brain Sciences 29 (1):70-71.
Lawrence W. Barsalou (2010). Grounded Cognition: Past, Present, and Future. Topics in Cognitive Science 2 (4):716-724.
Subrata Dasgupta (2008). Shedding Computational Light on Human Creativity. Perspectives on Science 16 (2):pp. 121-136.
Maurizio Tirassa, Antonella Carassa & Giuliano Geminiani (2000). A Theoretical Framework for the Study of Spatial Cognition. In [Book Chapter].
Dario D. Salvucci & Niels A. Taatgen (2011). Toward a Unified View of Cognitive Control. Topics in Cognitive Science 3 (2):227-230.
Added to index2011-08-09
Total downloads30 ( #59,403 of 1,103,009 )
Recent downloads (6 months)7 ( #36,701 of 1,103,009 )
How can I increase my downloads?