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Towards neural knowledge DNA

Abstract

In this paper, we propose the Neural Knowledge DNA, a framework that tailors the ideas underlying the success of neural networks to the scope of knowledge representation. Knowledge representation is a fundamental field that dedicates to representing information about the world in a form that computer systems can utilize to solve complex tasks. The proposed Neural Knowledge DNA is designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing devices. It is constructed in a similar fashion of how DNA formed: built up by four essential elements.

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Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS no. 32, pages 1575 - 1584,
ISSN: 1064-1246
Language:
English
Publication year:
2017
Bibliographic description:
Zhang H., Sanin C., Szczerbicki E.: Towards neural knowledge DNA// JOURNAL OF INTELLIGENT & FUZZY SYSTEMS. -Vol. 32, iss. 2 (2017), s.1575-1584
DOI:
Digital Object Identifier (open in new tab) 10.3233/jifs-169151
Verified by:
Gdańsk University of Technology

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