David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Behavioral and Brain Sciences 31 (4):399-400 (2008)
Leech et al. present a connectionist algorithm as a model of (the development) of analogizing, but they do not specify the algorithm's associated computational-level theory, nor its computational complexity. We argue that doing so may be essential for connectionist cognitive models to have full explanatory power and transparency, as well as for assessing their scalability to real-world input domains
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References found in this work BETA
Robert C. Cummins (2000). "How Does It Work" Versus "What Are the Laws?": Two Conceptions of Psychological Explanation. In F. Keil & Robert A. Wilson (eds.), Explanation and Cognition, 117-145. MIT Press.
John K. Tsotsos (1990). Analyzing Vision at the Complexity Level. Behavioral and Brain Sciences 13 (3):423-445.
I. van Rooij (2002). A Non-Representational Approach to Imagined Action. Cognitive Science 26 (3):345-375.
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