Re: JESS: Dynamic fact and rule creation

[sione]

[EMAIL PROTECTED] wrote:
But it is certainly possible to have a program that writes entirely
new rules based just on the contents of its own working memory; this
would be an instance of "machine learning." This is an enormous
discipline with a huge literature, and so I can't do it justice in a
few words. If you're interested, start Googling!
 

It is interesting that  Ernest mentioned  this.  In the latest  JDM 1.1  
(Java Data Mining) , there is
a sub-package  called  'javax.datamining.rule'  where it is designed to 
discover the rules on the fly
using one of the mining algorithms specified in JDM , such as Neural 
Network, Decision Tree,
Bayesian Analysis, Support Vector Machines , K-Means and so on.  There 
is huge potential there
for rule-engines to work in tandem with a mining engine such as JDM.  
Since  BEA is part of the
expert group for JDM , I would not be surprised if they  drafted this 
rule sub-package.

JDM  is just interface , that is no concrete algorithms. It is left to 
the vendors to implement the
algorithms themselves. There is an interest in  the Java data mining 
community to develop an
open source project which is  JDM compliant so that users can  have an 
API with concrete
implementations of the specs. WEKA (open source data mining project in 
Java - WEKA is not
JDM compliant yet)  will be used as a starting point for this effort. 
This means that when this
project is completed in its first version, then I think that this 
Dynamic fact and rule creation on
the fly is really around the corner.

JDM 1.0  (download it from here)
----------------------------------
http://www.jcp.org/en/jsr/detail?id=73
I think that we will see exciting things with JESS in combination with  
JDM in the next few
coming years.

Cheers,
Sione.
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