Knowledge Representation Approaches in Artificial Intelligence
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



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Informative Article | Computer Science & Engineering | India | Volume 8 Issue 10, October 2019

Knowledge Representation Approaches in Artificial Intelligence

Dr. Ms. Sampada Gulavani

Knowledge representation (KR) is the study of how knowledge and facts about the world can be represented, and what kinds of reasoning can be done with that knowledge. It is a medium for pragmatically efficient computation, and the computational environment in which thinking is accomplished. The knowledge representation is used to solve the problems encountered in artificial intelligence. KR is a field of artificial intelligence that focuses on designing computer representations that capture information about the world that can be used to solve complex problems. Knowledge representation techniques support the representation of knowledge in a structured form which is suitable for computer processing. Todays knowledge representation system requires to design a general system which is applicable to represent declarative as well as procedural knowledge.

Keywords: artificial intelligence, knowledge, knowledge representation, relational knowledge, Inheritable knowledge

Edition: Volume 8 Issue 10, October 2019

Pages: 1699 - 1701

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How to Cite this Article?

Dr. Ms. Sampada Gulavani, "Knowledge Representation Approaches in Artificial Intelligence", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20202230, Volume 8 Issue 10, October 2019, 1699 - 1701

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Knowledge Representation Approaches in Artificial Intelligence

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