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Research And Implementation Of Technology In Tickcon Expert System

Posted on:2003-12-18Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhangFull Text:PDF
GTID:2168360092465490Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Artificial Intelligence is a synthesis subject in 40 years,whose aim is how to use computer and hi-tech implements to design a kind of system to simulate intelligent behaviour of human. In lots of implementation fields of AI,Expert System is a classis intelligent implement system,whose goal is researching how to design a computer program bases on knowledge,to simulate the ability that human expert solutes special problems. Now,Expert System is becoming an important offset in AI.Knowledge expression and Uncertainty problem are difficult and the key research subject in AI and Expert System. I took part in the task organised by DPI,which is analysing,designing Tickcon Expert system. This paper mainly discusses a classis uncertainty problem in Tickcon Expert System and proposes a solution to the problem.In factual world,the uncertainty is very rich. In Expert system,usually probability is defined as subjective credit degree of experts to evidence and regulation,and Bayes theorem is key solution in probability reasoning. Tickcon Expert System use Bayes as the base of Stat. and reasoning.
Keywords/Search Tags:Knowledge Expression, Uncertainty, Bayes Theorem
PDF Full Text Request
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