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Back to the future: The return of cognitive functionalism

Published online by Cambridge University Press:  10 November 2017

Leyla Roskan Çağlar  and
Stephen José Hanson
Leyla Roskan Çağlar
Affiliation:
Psychology Department, Rutgers University Brain Imaging Center (RUBIC), Rutgers University, Newark, NJ 07102. lcaglar@psychology.rutgers.edu jose@rubic.rutgers.edu https://leylaroksancaglar.github.io/ http://nwkpsych.rutgers.edu/~jose/
Stephen José Hanson
Affiliation:
Psychology Department, Rutgers University Brain Imaging Center (RUBIC), Rutgers University, Newark, NJ 07102. lcaglar@psychology.rutgers.edu jose@rubic.rutgers.edu https://leylaroksancaglar.github.io/ http://nwkpsych.rutgers.edu/~jose/
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Abstract

The claims that learning systems must build causal models and provide explanations of their inferences are not new, and advocate a cognitive functionalism for artificial intelligence. This view conflates the relationships between implicit and explicit knowledge representation. We present recent evidence that neural networks do engage in model building, which is implicit, and cannot be dissociated from the learning process.

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Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 40 , 2017 , e257
Copyright
Copyright © Cambridge University Press 2017 

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