Knowledge Representation in Expert Systems: Structure, Classification, and Applications

Ali Sabzaliyev

doi:10.69760/lumin.202400005

Knowledge Representation in Expert Systems: Structure, Classification, and Applications

Autoriai

Ali Sabzaliyev Nakhchivan State University ##default.groups.name.author## https://orcid.org/0009-0007-1755-4500

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https://doi.org/10.69760/lumin.202400005

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Expert systems##common.commaListSeparator## knowledge representation##common.commaListSeparator## inference mechanism##common.commaListSeparator## dynamic adaptability##common.commaListSeparator## machine learning integration

Santrauka

This study explores the foundational principles, classification, and applications of expert systems, focusing on knowledge representation, inference mechanisms, and the challenges of dynamic adaptability. It highlights future trends, including integration with machine learning, user-friendly interfaces, and real-time scalability, emphasizing the transformative potential of expert systems in solving complex real-world problems.

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Publikuota

2024-12-05

Numeris

##issue.vol## 1 Nr. 2 (2024): Interdisciplinary Approaches in Modern Engineering

Skyrius

Articles

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Sabzaliyev, A. (2024). Knowledge Representation in Expert Systems: Structure, Classification, and Applications. Luminis Applied Science and Engineering, 1(2), 1-15. https://doi.org/10.69760/lumin.202400005