Associative learning of concepts
Keywords:
semantic surrounding, associative learning, concept similarity, grammar, relatednessAbstract
Humans find it extremely easy to say if two words are related or if one word is more related to a given word than another one. For example, if we come across two words - 'car' and 'bicycle', we know they are related since both are means of transport. Also, we easily observe that 'bicycle' is more related to 'car' than 'fork' is. In the paper we describe our approach on quantifying the semantic relatedness of concepts based on the theory of associative learning of concepts.
References
[1] C. Fellbaum. WordNet: An Electronic Lexical Database. The MIT Press, Cambridge, MA, 1998.
[2] D.O. Hebb. The Organization of Behavior. John Wiley, New York, USA, 1949.
[3] R. Hecht-Nielsen. A theory of cerebral cortex. Proceedings of the International Conference on Neural Information Processing (ICONIP98), 1998.
[4] R. Kende. Ontology Enabled Information Retrieval, Dissertation Thesis. University of Technology in Kosice, Slovakia, 2006.
[5] G.N. Lance, W.T. Williams. A general theory of classificatory sorting strategies, 1. Hierarchical systems. Computer Journal, 9: 373-380, 1967.
[2] D.O. Hebb. The Organization of Behavior. John Wiley, New York, USA, 1949.
[3] R. Hecht-Nielsen. A theory of cerebral cortex. Proceedings of the International Conference on Neural Information Processing (ICONIP98), 1998.
[4] R. Kende. Ontology Enabled Information Retrieval, Dissertation Thesis. University of Technology in Kosice, Slovakia, 2006.
[5] G.N. Lance, W.T. Williams. A general theory of classificatory sorting strategies, 1. Hierarchical systems. Computer Journal, 9: 373-380, 1967.
Published
2022-08-17
Issue
pp. 737-743
Section
Articles
License
Copyright © The Author(s).
This work is licensed under the Creative Commons Attribution 4.0 International CC BY 4.0.
How to Cite
Rockai, V., & Kende, R. (2022). Associative learning of concepts. Computer Assisted Methods in Engineering and Science, 14(4), 737-743. https://cames3.ippt.pan.pl/index.php/cames/article/view/808
