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The brain is not an isolated “black box,” nor is its goal to become one

Published online by Cambridge University Press:  10 May 2013

Tom Froese
Affiliation:
Departamento de Ciencias de la Computación, Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Ciudad Universitaria, A.P. 20-726, 01000 México D.F., México. t.froese@gmail.com http://froese.wordpress.com Ikegami Laboratory, Department of General Systems Studies, Graduate School of Arts and Sciences, University of Tokyo, Meguro-ku, Tokyo 153-8902, Japan. ikeg@sacral.c.u-tokyo.ac.jp http://sacral.c.u-tokyo.ac.jp/
Takashi Ikegami
Affiliation:
Ikegami Laboratory, Department of General Systems Studies, Graduate School of Arts and Sciences, University of Tokyo, Meguro-ku, Tokyo 153-8902, Japan. ikeg@sacral.c.u-tokyo.ac.jp http://sacral.c.u-tokyo.ac.jp/

Abstract

In important ways, Clark's “hierarchical prediction machine” (HPM) approach parallels the research agenda we have been pursuing. Nevertheless, we remain unconvinced that the HPM offers the best clue yet to the shape of a unified science of mind and action. The apparent convergence of research interests is offset by a profound divergence of theoretical starting points and ideal goals.

Information

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2013 

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