Abstract
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’.
DOI
10.1098/rstb.2017.0131
Publication Date
2018-08-05
Publication Title
Philosophical Transactions of the Royal Society B: Biological Sciences
Volume
373
Issue
1752
Publisher
The Royal Society
ISSN
1471-2970
Embargo Period
2024-11-22
First Page
20170131
Last Page
20170131
Recommended Citation
Cangelosi, A., & Stramandinoli, F. (2018) 'A review of abstract concept learning in embodied agents and robots', Philosophical Transactions of the Royal Society B: Biological Sciences, 373(1752), pp. 20170131-20170131. The Royal Society: Available at: https://doi.org/10.1098/rstb.2017.0131
