Abstract
Neutrosophic theory is a new cognitive, scientific, and philosophical pattern with its own specificity, effectiveness, and characteristics. It means neutral thought as a generalization of fuzzy logic. It has also become an extension of the classical category theory as it has developed and introduced new ideas. New concepts in the fields of mathematics, statistics, computer science, and information systems have been formulated through Neutrosophic logic. The need for this new logic has emerged through the relative changes in life and the lack of knowledge needed to address these changes. We need a logical format that fits our current data to deal with various scientific and life practices in their various forms. Neutrosophic logic studies the nature and scope of indeterminacy and the interaction of all the different models and hypotheses a person imagines or assumes about a given issue. It considers each opposing idea with the hypothesis of indeterminacy. Neutrosophic logic gives us a more accurate description which in turn helps us obtain more valid and accurate results. Therefore, in this paper, we shed light on the effectiveness of the principles of neutrosophic logic in computing artificial linguistic and semantic relationships and their ontological construction in the field of artificial intelligence. Additionally, we illustrate how, as a flexible logic, it can blend with other theories to achieve technological, informational, and computational compatibility with synthetic linguistic meaning.
Presenters
Labidi BouabdallahProfessor, Faculty of Arts and Languages - Department of Arabic Language, Mohamed Bin Zayed University for Humanities, Abū Z̧aby [Abu Dhabi], United Arab Emirates
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
Communications and Linguistic Studies
KEYWORDS
THE NEUTROSOPHIC LOGIC, COMPUTING, SYNTHETIC MEANING
