Abstract:
:Grounded language acquisition is an important issue, particularly to facilitate human-robot interactions in an intelligent and effective way. The evolutionary and developmental language acquisition are two innovative and important methodologies for the grounding of language in cognitive agents or robots, the aim of which is to address current limitations in robot design. This paper concentrates on these two main modelling methods with the grounding principle for the acquisition of linguistic ability in cognitive agents or robots. This review not only presents a survey of the methodologies and relevant computational cognitive agents or robotic models, but also highlights the advantages and progress of these approaches for the language grounding issue.
journal_name
Comput Intell Neuroscijournal_title
Computational intelligence and neuroscienceauthors
Rasheed N,Amin SHdoi
10.1155/2016/8571265subject
Has Abstractpub_date
2016-01-01 00:00:00pages
8571265eissn
1687-5265issn
1687-5273journal_volume
2016pub_type
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