Hans W. Borchers wrote: > Ralf Finne <Ralf.Finne <at> syh.fi> writes: > >> Hi R-users >> Is there any functions in R that can implement "expert systems"? >> The aim of an expert system is to produce a probable diagnosis >> for a patient with certain symptoms. >> In the classical expert system a mumber of "experts" are asked to make >> "statements" on the probabilities for different diseases when a >> combination of systems would appear. One typical "expert system" >> uses Fuzzy Logic to suggest the diagnosis. >> >> In more modern systems one tends to make the system self learning >> to improve the system. >> >> > > What you are describing here is just one of several ways to realize an "expert > systems". And the question is also what kind of technique you would like to > implement such a system in, e.g., rule-based, fuzzy sets, (Bayesian) networks, > constraints, case bases, etc. > > The closest R may come to expert system techniques is through Weka in the > RWeka > package (I should also mention 'deal' for graphical networks). R as > statistical > software focuses more on the learning aspect, not on explicitly representing > 'knowledge' in whatever form. > > There are commercial and free "expert system shells" one could utilize. CLIPS > <http://clipsrules.sourceforge.net/> is a bit old-fashioned, but could easily > be > integrated with R; JESS <http://www.jessrules.com/> being another one. > > Also Prolog systems (especially if they include CSP solvers) such as BProlog > or > SWI Prolog are free and could be combined (at least through file or pipe > transfer) with R to generate complete applications. > > Regards, Hans Werner Borchers > > You might also want to look at gRain which Søren Højsgaard announced yesterday. > >> Hoping for comments >> Ralf Finne >> Swenska yrkeshögskolan >> Vasa Finland >> >> ______________________________________________ >> R-help <at> r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> >> > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >
-- O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.