A review of abstract concept learning in embodied agents and robots.
Date
2018-08-05Author
Cangelosi, A
Stramandinoli, F
Subject
abstract concept learning cognitive robotics embodied cognition numerical concepts symbol grounding Concept Formation Humans Learning Models, Psychological Robotics Speech
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Show full item recordAbstract
This paper reviews computational modelling approaches to the learning of abstract concepts and words in embodied agents such as humanoid robots. This will include a discussion of the learning of abstract words such as 'use' and 'make' in humanoid robot experiments, and the acquisition of numerical concepts via gesture and finger counting strategies. The current approaches share a strong emphasis on embodied cognition aspects for the grounding of abstract concepts, and a continuum, rather than dichotomy, view of concrete/abstract concepts differences.This article is part of the theme issue 'Varieties of abstract concepts: development, use and representation in the brain'.
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Place of Publication
England
Journal
Philos Trans R Soc Lond B Biol Sci
Volume
373
Issue
1752
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