Acquisition of abstract words for cognitive robots
Abstract word learning and comprehension is a very crucial and important issue because of its application and problematic nature. This problem does not just belong to the cognitive robotics field, as it also has significance in neuroscience and cognitive science. There are many issues like symbol gr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Penerbit UTM Press
2015
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| Online Access: | http://eprints.utm.my/57693/1/ShamsudinMohdAmin2015_AcquisitionofAbstractWordsforCognitiveRobots.pdf |
| _version_ | 1796860360300429312 |
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| author | Rasheeda, Nadia Mohd. Amin, Shamsuddin Hafeez, Abdul Raheem, Abdur Shakoor, Rabia |
| author_facet | Rasheeda, Nadia Mohd. Amin, Shamsuddin Hafeez, Abdul Raheem, Abdur Shakoor, Rabia |
| author_sort | Rasheeda, Nadia |
| collection | ePrints |
| description | Abstract word learning and comprehension is a very crucial and important issue because of its application and problematic nature. This problem does not just belong to the cognitive robotics field, as it also has significance in neuroscience and cognitive science. There are many issues like symbol grounding problem and sensory motor processing within grounded cognition framework and conceptual knowledge representation methods that have to be addressed and solved for the acquisition of abstract words in cognitive robots. This paper explains these concepts and matters, and also elucidates how these are linked to this problem. In this paper, first symbol grounding problem is discussed, and after that an overview of grounded cognition be given along with detail of methods/ideas that suggest how abstract word representation could use sensory motor system. Finally, the computation methods used for the representation of conceptual knowledge are discussed. Two cognitive robotics models based on Neural network and Semantic network that ground abstract words are presented and compared via simulation experiment to find out the pros and cons of computation methods for this problem. The aim of this paper is to explore the building blocks of cognitive robotics model at theoretical and experimental level, for grounding of abstract words. |
| first_indexed | 2024-03-05T19:40:12Z |
| format | Article |
| id | utm.eprints-57693 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T19:40:12Z |
| publishDate | 2015 |
| publisher | Penerbit UTM Press |
| record_format | dspace |
| spelling | utm.eprints-576932016-12-21T01:48:34Z http://eprints.utm.my/57693/ Acquisition of abstract words for cognitive robots Rasheeda, Nadia Mohd. Amin, Shamsuddin Hafeez, Abdul Raheem, Abdur Shakoor, Rabia TK Electrical engineering. Electronics Nuclear engineering Abstract word learning and comprehension is a very crucial and important issue because of its application and problematic nature. This problem does not just belong to the cognitive robotics field, as it also has significance in neuroscience and cognitive science. There are many issues like symbol grounding problem and sensory motor processing within grounded cognition framework and conceptual knowledge representation methods that have to be addressed and solved for the acquisition of abstract words in cognitive robots. This paper explains these concepts and matters, and also elucidates how these are linked to this problem. In this paper, first symbol grounding problem is discussed, and after that an overview of grounded cognition be given along with detail of methods/ideas that suggest how abstract word representation could use sensory motor system. Finally, the computation methods used for the representation of conceptual knowledge are discussed. Two cognitive robotics models based on Neural network and Semantic network that ground abstract words are presented and compared via simulation experiment to find out the pros and cons of computation methods for this problem. The aim of this paper is to explore the building blocks of cognitive robotics model at theoretical and experimental level, for grounding of abstract words. Penerbit UTM Press 2015 Article PeerReviewed application/pdf en http://eprints.utm.my/57693/1/ShamsudinMohdAmin2015_AcquisitionofAbstractWordsforCognitiveRobots.pdf Rasheeda, Nadia and Mohd. Amin, Shamsuddin and Hafeez, Abdul and Raheem, Abdur and Shakoor, Rabia (2015) Acquisition of abstract words for cognitive robots. Jurnal Teknologi, 72 . pp. 21-28. ISSN 0127-9696 http://dx.doi.org/10.11113/jt.v72.3878 DOI:10.11113/jt.v72.3878 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Rasheeda, Nadia Mohd. Amin, Shamsuddin Hafeez, Abdul Raheem, Abdur Shakoor, Rabia Acquisition of abstract words for cognitive robots |
| title | Acquisition of abstract words for cognitive robots |
| title_full | Acquisition of abstract words for cognitive robots |
| title_fullStr | Acquisition of abstract words for cognitive robots |
| title_full_unstemmed | Acquisition of abstract words for cognitive robots |
| title_short | Acquisition of abstract words for cognitive robots |
| title_sort | acquisition of abstract words for cognitive robots |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/57693/1/ShamsudinMohdAmin2015_AcquisitionofAbstractWordsforCognitiveRobots.pdf |
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