Dear Lev,

Please send me your document. I couldn't open your pdf file, my reader
says that it has an error.

Best,

Peter

------------------
Dr Peter Andras
Lecturer

Claremont Tower
School of Computing Science
University of Newcastle
Newcastle upon Tyne
NE1 7RU
UK

Tel. +44-191-2227946
Fax. +44-191-2228232
Web: www.staff.ncl.ac.uk/peter.andras


-----Original Message-----
From: Lev Goldfarb [mailto:[EMAIL PROTECTED]
Sent: 30 March 2004 05:37
To: [EMAIL PROTECTED]
Subject: Paper "What is a structural representation?"


(My apologies if you receive several copies of this message)

Dear colleagues,

It is my great pleasure to inform you of the second, SUBSTANTIALLY
modified, version of our earlier (2000) paper on structural
representation. You will find the second version at

                    http://www.cs.unb.ca/~goldfarb/ets2/ETS2.pdf

The paper's abstract is appended below.

This paper is absolutely unique, in the sense that it still remains the
only one addressing the issue of structural representation at a
fundamental level--as it deserves to be treated--which is why it should
be of interest to many researchers in various areas.  Moreover, the
concept of structural representation emerging from the formalism
outlined in this paper has nothing to do with the conventional one: a
structural representation must capture the corresponding "generative
history".

We would GREATLY appreciate any comments regarding this paper.

(We also intend to discuss the paper on the INDUCTIVE mailing list.  To
subscribe, send the following text

SUBSCRIBE INDUCTIVE <FIRSTNAME> <LASTNAME>

to [EMAIL PROTECTED] )


Best regards,

Lev Goldfarb

Faculty of Computer Science
University of New Brunswick
540 Windsor Street
Fredericton, N.B., E3B 5A3
Canada

http://www.cs.unb.ca/~goldfarb

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                          What is a structural representation?
                                       Second version

               Lev Goldfarb, David Gay, Oleg Golubitsky, Dmitry Korkin
                              Faculty of Computer Science
                                      UNB, Fredericton
                                            Canada

                                           Abstract

We outline a formalism for "structural", or "symbolic", representation,
the necessity of which is acutely felt in all sciences.  One can develop
an initial intuitive understanding of the proposed representation by
simply generalizing the process of construction of natural numbers:
replace the identical structureless units out of which numbers are built
by several structural ones, attached consecutively.  Now, however, the
resulting constructions embody the corresponding formative/generative
histories, since we can see what was attached and when.

The concept of class representation--which inspired and directed the
development of this formalism--differs radically from the known concepts
of class. Indeed, the evolving transformation system (ETS) formalism
proposed here is the first one developed to support that concept; a
class representation is a finite set of weighted and interrelated
transformations ("structural segments"), out of which class elements are
built.

The formalism allows for a very natural introduction of representational
levels: a next-level unit corresponds to a class representation at the
previous level.

We introduce the concept of "intelligent process", which provides a
suitable scientific environment for the investigation of structural
representation.  This process is responsible for the actual construction
of levels and of representations at those levels; conventional
"learning" and "recognition" processes are integrated into this process,
which operates in an unsupervised mode.  Together with the concept of
structural representation, this leads to the delineation of a new
field--inductive informatics--which is intended as a rival to
conventional information processing paradigms.

>From the point of view of the ETS formalism, classical discrete
"representations" (strings, graphs) now appear as incomplete special
cases at best, the proper "completion" of which should incorporate
corresponding generative histories (e.g. those of strings or graphs).

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