Evolvability of Recurrent Nets

[GOLDFARB%unb.ca@UNBMVS1.csd.unb.ca]

On  Wed, 04 Sep 91 01:48:54 ADT  	JANSSEN Jacques <CADEPS at BBRNSF11.
BITNET> writes:

> Has anyone seen work on extending these ideas to
> recurrent nets? Or anything which might do the job?
>
> Cheers, Hugo de Garis,
>
>        Univ of Brussels, &
>        George Mason Univ, VA.


I have developed a new model - evolving transformation systems, or
reconfigurable learning machines - which is a far-reaching
generalization of the NN models and which is, for the first time,
accommodates the (structurally) evolving nature of the learning
process, i.e., in the language of NN, new nodes that are compositions
of some basic units can be introduced during learning.

For more information see my previous postings on this mailing list,
as well as

L. Goldfarb, What is distance and why do we need the metric model for
             pattern learning?, to appear in Pattern Recognition.
L. Goldfarb, Verifiable characterization of an intelligent process,
             Proc. of the 4th UNB Artificial Intelligence Symposium,
             UNB, Fredericton, Sept.20-21, 1991.

--Lev Goldfarb