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- W4361732141 abstract "A form of artificial intelligence (AI) that is advanced and involves rules that are applied to data to simulate a person's thought process in a particular area, knowledge engineering can be described as an advanced form of artificial intelligence (AI). Knowledge engineering had evolved from its original form when it focused on transferring and analyzing knowledge from human problem-solvers into computer programs that could do the same. .It is essential to realize that transfer processing has limitations because humans make decisions differently than machines do. Non-linear thinking and analogous reasoning, often not logical, have not been considered in this case.It is becoming increasingly common today to use a modeling process for knowledge engineering, which creates a system that can reach the same conclusions as experts without following the same path or acquiring the same information from the same sources. In this paper, we aim to represent Knowledge engineering to transform knowledge into software that makes decisions similar to those made by human experts, such as financial advisors, whose decisions are based on their learning.Eventually, it is expected that human experts will be replaced by knowledge engineering in decision support software" @default.
- W4361732141 created "2023-04-04" @default.
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- W4361732141 date "2022-12-16" @default.
- W4361732141 modified "2023-09-27" @default.
- W4361732141 title "Semantic Approach for the classification of Knowledge representation and reasoning analysis" @default.
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- W4361732141 doi "https://doi.org/10.1109/icac3n56670.2022.10074398" @default.
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