Re: [R] Expert systems

From: Peter Dalgaard <P.Dalgaard_at_biostat.ku.dk>
Date: Tue, 29 Jan 2008 11:16:02 +0100

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
>>
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>>
>>
>
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>

-- 
   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
~~~~~~~~~~ - (p.dalgaard_at_biostat.ku.dk)                  FAX: (+45) 35327907

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Received on Tue 29 Jan 2008 - 10:24:08 GMT

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