Topics in Cognitive Science 7 (2):243-258 (2015)

Abstract
We consider approaches to explanation within the cognitive sciences that begin with Marr's computational level or Marr's implementational level and argue that each is subject to fundamental limitations which impair their ability to provide adequate explanations of cognitive phenomena. For this reason, it is argued, explanation cannot proceed at either level without tight coupling to the algorithmic and representation level. Even at this level, however, we argue that additional constraints relating to the decomposition of the cognitive system into a set of interacting subfunctions are required. Integrated cognitive architectures that permit abstract specification of the functions of components and that make contact with the neural level provide a powerful bridge for linking the algorithmic and representational level to both the computational level and the implementational level
Keywords Cognitive neuroscience  Cognitive architecture  Algorithmic and representational level  Explanation  Bayes' rule
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DOI 10.1111/tops.12132
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References found in this work BETA

Aspects of the Theory of Syntax.Noam Chomsky - 1965 - Cambridge, MA, USA: MIT Press.
Vision.David Marr - 1982 - W. H. Freeman.
Criticism and the Growth of Knowledge.Imre Lakatos & Alan Musgrave (eds.) - 1970 - Cambridge University Press.
Unified Theories of Cognition.Allen Newell - 1990 - Harvard University Press.

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