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- W2249955076 abstract "Bayesian methodology has been used widely used in various research fields. It is a method of inference using Bayes' rule to update the estimation of probability for the certain hypothesis when additional evidences are acquired. According to the current researches (1) , malfunction of nuclear power plant can be detected by using this Bayesian inference which consistently piles up the newly incoming data and updates its estimation. However, those researches are based on the assumption that people are doing like computer perfectly, which can be criticized and may cause a problem in real world application. Studies in cognitive psychology indicates that when the amount of information becomes larger, people can't save the whole data because people have limited memory capacity which is well known as working memory (2) , and also they have attention problem. The purpose of this paper is to consider the psychological factors and confirm how much this working memory and attention will affect the resulted estimation based on the Bayesian inference. To confirm this, experiment on human is needed, and the tool of experiment is Compact Nuclear Simulator (CNS). Keyword: Bayesian inference, diagnosis, working memory, attention" @default.
- W2249955076 created "2016-06-24" @default.
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- W2249955076 date "2014-05-29" @default.
- W2249955076 modified "2023-09-27" @default.
- W2249955076 title "Experiments for Evaluating Application of Bayesian Inference to Situation Awareness of Human Operators in NPPs" @default.
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