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Titlebook: Building Expert Systems in Prolog; Dennis Merritt Book 1989 Springer-Verlag New York Inc. 1989 C programming language.Factor.Prolog.algori

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發(fā)表于 2025-3-21 17:45:31 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Building Expert Systems in Prolog
影響因子2023Dennis Merritt
視頻videohttp://file.papertrans.cn/192/191652/191652.mp4
學(xué)科分類(lèi)Springer Compass International
圖書(shū)封面Titlebook: Building Expert Systems in Prolog;  Dennis Merritt Book 1989 Springer-Verlag New York Inc. 1989 C programming language.Factor.Prolog.algori
影響因子When I compare the books on expert systems in my library with the production expert systems I know of, I note that there are few good books on building expert systems in Prolog. Of course, the set of actual production systems is a little small for a valid statistical sample, at least at the time and place of this writing - here in Gennany, and in the first days of 1989. But there are at least some systems I have seen running in real life commercial and industrial environments, and not only at trade shows. I can observe the most impressive one in my immediate neighborhood. It is installed in the Telephone Shop of the Gennan Federal PTT near the Munich National Theater, and helps configure telephone systems and small PBXs for mostly private customers. It has a neat, graphical interface, and constructs and prices an individual telephone installation interactively before the very eyes of the customer. The hidden features of the system are even more impressive. It is part of an expert system network with a distributed knowledge base that will grow to about 150 installations in every Telephone Shop throughout Gennany. Each of them can be updated individually overnight via Teletex to pres
Pindex Book 1989
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Piotr Rudnicki,Andrzej Trybulec good example; however it made the assumption that all information was either absolutely true, or absolutely false. In the real world, there is often uncertainty associated with the rules of thumb an expert uses, as well as the data supplied by the user.
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Andreas J. Stylianides,Seán Delaneystification of conclusions or questions at any point in a consultation with an expert system. The system usually responds with the rules that were used for the conclusion, or the rules being considered which led to a question to the user.
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Backward Chaining with Uncertainty, good example; however it made the assumption that all information was either absolutely true, or absolutely false. In the real world, there is often uncertainty associated with the rules of thumb an expert uses, as well as the data supplied by the user.
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