Examines artificial intelligence technology, definitions, methods, objectives, natural language processing, benefits and problems, user issues, neural networks, products and vendors. Uses tables and diagrams.
# 14161 | 5,625 words | 10 sources | 1999 |
Published on Feb 06, 2003 in Computer and Technology (Technology) , Computer and Technology (Networks)
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From the Paper:"Introduction
Expert systems are best known for attempting to imitate human experts through the use of artificial intelligence technology. These systems handle information symbolically rather than as numerical symbols (as in conventional data processing). Expert systems use a knowledge base created by a knowledge engineer containing facts and rules upon which experts in a particular field base their decisions. Expert systems can increase productivity within organizations, and decrease training time for new employees, but such systems require educating those individuals targeted to use the system if the institution is to receive the maximum benefit. Artificial intelligence (AI) technology has been in development since the 1950s. AI seeks to have higher mental tasks normally done by humans done by computers. The limitation ..."
Cite this Research Paper:
Expert Systems (2003, February 06) Retrieved April 18, 2021, from https://www.academon.com/research-paper/expert-systems-14161/
"Expert Systems" 06 February 2003. Web. 18 April. 2021. <https://www.academon.com/research-paper/expert-systems-14161/>