Towards Neural Knowledge DNA

February 27, 2016 Β· Declared Dead Β· πŸ› Journal of Intelligent & Fuzzy Systems

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Authors Haoxi Zhang, Cesar Sanin, Edward Szczerbicki arXiv ID 1602.08571 Category cs.AI: Artificial Intelligence Cross-listed cs.NE Citations 16 Venue Journal of Intelligent & Fuzzy Systems Last Checked 4 months ago
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 dedicate 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 organisation. It is constructed in a similar fashion of how DNA formed: built up by four essential elements. As the DNA produces phenotypes, the Neural Knowledge DNA carries information and knowledge via its four essential elements, namely, Networks, Experiences, States, and Actions.
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