Theoretical accounts to practical models: Grounding phenomenon for abstract words in cognitive robots

• Published in: Cognitive systems research 2016-12, Vol.40, p.86-98
• Main Authors: Rasheed, Nadia, Amin, Shamsudin H.M., Sultana, U., Shakoor, Rabia, Zareen, Naila, Bhatti, Abdul Rauf
• Format: Article
• Language: English
• Subjects: Cognitive robotics; Connectionist computation; Grounded cognition; Symbol grounding problem
• ISSN: 1389-0417; 1389-0417
• DOI: 10.1016/j.cogsys.2016.05.001

This review concentrates on the issue of acquisition of abstract words in a cognitive robot with the grounding principle, from relevant theories to practical models of agents and robots. Most cognitive robotics models developed for grounding of language take inspiration from the findings of neuroscience and psychology to get the theoretical skeleton of these models. To better understand these modelling approaches, it is indispensable to work from the base (theoretical accounts) to the top (computational models). Therefore in this paper, succinct definition of abstract words is presented first, and then the symbol grounding issue and accounts of grounded cognition for abstract words are given. The next section discusses the computational modelling approaches for abstract words grounding phenomenon. Finally, important cognitive robotics models are reviewed. This paper also points out the strengths and weaknesses of relevant hypotheses and models for the representation of abstract words in the grounded cognition framework and helps the understanding of issues such as where and why modelling efforts stand to address this problem in comparison with theoretical findings.