To bridge the gap between sensorimotor and higher levels, AI will need help from psychology

Frank Guerin*

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

Open peer commentary on the article “A Computational Constructivist Model as an Anticipatory Learning Mechanism for Coupled Agent–Environment Systems” by Filipo Studzinski Perotto. Upshot: Constructivist theory gives a nice high-level account of how knowledge can be autonomously developed by an agent interacting with an environment, but it fails to detail the mechanisms needed to bridge the gap between low levels of sensorimotor data and higher levels of cognition. AI workers are trying to bridge this gap, using task-specific engineering approaches, without any principled theory to guide them; they could use help from psychologists.
Original languageEnglish
Pages (from-to)56-57
Number of pages2
JournalConstructivist Foundations
Volume9
Issue number1
Publication statusPublished - 15 Nov 2013

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artificial intelligence
Cognition
psychology
Learning
Psychology
psychologist
cognition
engineering
worker
learning
Sensorimotor
Constructivist
Computational
Workers
Peers
Psychologists

ASJC Scopus subject areas

  • Philosophy
  • History and Philosophy of Science
  • Education
  • Cognitive Neuroscience

Cite this

To bridge the gap between sensorimotor and higher levels, AI will need help from psychology. / Guerin, Frank.

In: Constructivist Foundations, Vol. 9, No. 1, 15.11.2013, p. 56-57.

Research output: Contribution to journalArticle

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