David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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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|
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References found in this work BETA
Thomas S. Kuhn (1996). The Structure of Scientific Revolutions. University of Chicago Press.
David Marr (1982). Vision. Freeman.
Allen Newell (1990). Unified Theories of Cognition. Harvard University Press.
Citations of this work BETA
John K. Tsotsos & Wouter Kruijne (2014). Cognitive Programs: Software for Attention's Executive. Frontiers in Psychology 5.
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