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Artificial Intelligence And Science For Knowledge

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Engineering is a study of mathematics and science for knowledge on how to improve man-kind. Artificial Intelligence is a substructure of Engineering where it takes that knowledge of the engineers to improve the training thought of a device with less human interaction. Software, Mechanical, and Robotics, to name a few,are areas where Artificial Intelligence is being used. The way artificial Intelligence has evolved through the years, it has even been able to challenge humans into improving much greater ideas. “The term artificial intelligence is also used to describe a property of machines or programs, the intelligence that the system demonstrates” (Brynjolfsson). In Engineering, there are 5 main concepts and methods of Artificial Intelligence which are: Knowledge-based systems, Neural networks, Genetic algorithms, Fuzzy logic, and Intelligent agents. In Knowledge-based systems, in order to solve a problem, the problem solver must have a substantial amount of knowledge prior to the problem (Rzevski 6). In the article “Artificial Intelligence in Engineering: Past, Present, and Future” by George Rzevski, Feignbaum states that the performance of this system relies on the amount of information stored. In Neural networks, they allow researchers to learn from examples, store information that’s organized well, and recognize partially specified patterns in engineering applications. As a result, problems could be solved through pattern recognition. In Genetic algorithms, they are

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