A review of abstract concept learning in embodied agents and robots.
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'.
['Cangelosi|Angelo|A|0000-0002-4709-2243', 'Stramandinoli|Francesca|F|']
D003210:Concept Formation D006801:Humans D007858:Learning D008960:Models, Psychological D012371:Robotics D013060:Speech
abstract concept learning numerical concepts embodied cognition cognitive robotics symbol grounding