publication . Part of book or chapter of book . Article . Book . Other literature type . 2011

Expert systems

Waldemar Rebizant;
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  • Published: 01 Jan 2011
  • Publisher: SAGE Publications, Inc.
Abstract
Expert systems mimic the problem-solving activity of human experts in specialized domains by capturing and representing expert knowledge. Expert systems include a knowledge base, an inference engine that derives conclusions from the knowledge, and a user interface. Knowledge may be stored as if-then rules, orusing other formalisms such as frames and predicate logic. Uncertain knowledge may be represented using certainty factors, Bayesian networks, Dempster-Shafer belief functions, or fuzzy sets. Methods of knowledge acquisition include interviewing, analysis of past records of expert decisions, and observation of experts engaged in their natural activity. An exp...
Subjects
free text keywords: problemsolving, knowledge, rules, logic, uncertainty, expert systems, artificial intelligence, knowledge, expertise, Electrical and Electronic Engineering, Library and Information Sciences, Information Systems, Expert system, computer.software_genre, computer, Software engineering, business.industry, business, Computer science, General Materials Science, Safety, Risk, Reliability and Quality, Marketing, Economics and Econometrics, Business and International Management, Health Policy, Pharmacology, Law, Computer Science Applications, Analytical Chemistry, General Medicine, General Computer Science, Control and Systems Engineering, Mechanical Engineering, Industrial and Manufacturing Engineering, Software

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