I know that there are packages implementings the probabilistic expert systems (the so-called probabilistic networks or bayesian networks). You find (at least) the following packages:
bnlearn (bayesian network structure learning) deal (learning bayesian networks with mixed variables) G1DBN (for dynamic bayesian network inference) Ciao, domenico Ralf Finne wrote: > 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. > > Hoping for comments > Ralf Finne > Swenska yrkeshögskolan > Vasa Finland > > ______________________________________________ > 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. > ______________________________________________ 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.