Developmental and Evolutionary Lexicon Acquisition in Cognitive AgentsRobots with Grounding Principle: A Short Review
Joint Authors
Rasheed, Nadia
Amin, Shamsudin H. M.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-16
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Rasheed, Nadia& Amin, Shamsudin H. M.. 2016. Developmental and Evolutionary Lexicon Acquisition in Cognitive AgentsRobots with Grounding Principle: A Short Review. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1099806
Modern Language Association (MLA)
Rasheed, Nadia& Amin, Shamsudin H. M.. Developmental and Evolutionary Lexicon Acquisition in Cognitive AgentsRobots with Grounding Principle: A Short Review. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1099806
American Medical Association (AMA)
Rasheed, Nadia& Amin, Shamsudin H. M.. Developmental and Evolutionary Lexicon Acquisition in Cognitive AgentsRobots with Grounding Principle: A Short Review. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1099806
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099806