No subject

stefano@kant.irmkant.rm.cnr.it stefano at kant.irmkant.rm.cnr.it
Fri Apr 23 05:03:13 EDT 1993


The following paper has been placed in the neuroprose archive
as nolfi.growing.ps.Z
Instructions for retrieving and printing follow the abstract.




                        Growing Neural Networks


                  Stefano Nolfi              Domenico Parisi
                        Institute of Psychology, CNR
                        V.le Marx 15, 00137 Rome - Italy
           E-mail: stiva at irmkant.Bitnet  domenico at irmkant.Bitnet


                                  Abstract


Growing  neural  networks   are   networks   which   are  constructed   by 
executing genetic instructions contained in a genotype. These instructions 
and  their  products  interacts non-linearly  to  eventually determine the 
mature  structure. We  present  simulations  in  which  the  mapping  from 
genotype  to  phenotype  is  instantaneous  and  simulations  in  which it 
develops  in  time during a segment of an individual's lifetime, i.e. the 
individual's  developmental  age,  allowing   us   to  study  both  neural 
evolution  and  neural development.  The  results  shed  some light on (a) 
why   modular  architectures   are   likely  to  emerge, (b)  why  similar 
successions  of  stages  tend to appear in both evolution and development, 
and (c) why  a  developmental age is preserved evolutionarily although the 
mature state  may  appear  to  be more efficient from the point of view of 
fitness.

The paper has been presented at the Artificial Life III Conference 



Sorry, no hard copies are available

Comments are welcome.


Stefano Nolfi
Institute of Psychology, CNR
V.le Marx, 15
00137 - Rome - Italy
email stiva at irmkant.Bitnet
_______________________________________________________________________

Here is an example of how to retrieve this file:

gvax> ftp archive.cis.ohio-state.edu        (or ftp 128.146.8.52)
Connected to archive.cis.ohio-state.edu.
220 archive.cis.ohio-state.edu FTP server ready.
Name: anonymous
331 Guest login ok, send ident as password.
Password:neuron at wherever
230 Guest login ok, access restrictions apply.
ftp> binary
200 Type set to I.
ftp> cd pub/neuroprose
250 CWD command successful.
ftp> get nolfi.growing.ps.Z
200 PORT command successful.
150 Opening BINARY mode data connection for nolfi.growing.ps.Z
226 Transfer complete.
ftp> quit
221 Goodbye.
gvax> uncompress nolfi.growing.ps.Z
gvax> lpr nolfi.growing.ps


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