Newsgroups: sci.nonlinear,sci.cognitive,comp.ai.philosophy
Path: cantaloupe.srv.cs.cmu.edu!das-news2.harvard.edu!news2.near.net!howland.reston.ans.net!news.sprintlink.net!noc.netcom.net!netcom.com!kovsky
From: kovsky@netcom.com (Bob Kovsky)
Subject: Re: Chaos and Computation
Message-ID: <kovskyD8Dwu7.AAG@netcom.com>
Organization: NETCOM On-line Communication Services (408 261-4700 guest)
References: <3o8o3a$9a5@portal.gmu.edu> <kovskyD8BJLr.Mn4@netcom.com> <3opic3$kbb@uuneo.neosoft.com> <pecora-100595085205@lou-pecora.nrl.navy.mil>
Date: Wed, 10 May 1995 22:51:43 GMT
X-Original-Newsgroups: sci.nonlinear,sci.cognitive,comp.ai.philosophy
Lines: 44
Sender: kovsky@netcom11.netcom.com
Xref: glinda.oz.cs.cmu.edu sci.nonlinear:3109 sci.cognitive:7560 comp.ai.philosophy:27905

Louis M. Pecora <pecora@zoltar.nrl.navy.mil> wrote:

>
>> Bob Kovsky (kovsky@netcom.com) wrote:
>> : George McKee <mckee@starbase.neosoft.com> wrote:
>> : >... nervous systems []  are clearly modelable as ARNNs,
>> : 	Could you provide a reference for this proposition?
>> 
>> Golly, it's obvious.  Take a look at any drawing of an ARNN, then
>> look at the diagrams of ganglia in any neuroscience textbook.
>> Any resemblance you see is quite intentional.  

[Deletia demonstrating that the above was tongue-in-cheek]

>
>Will a real biologist speak up here?

	In the Winter 1988 issue of Daedalus, devoted to Artifical 
Intelligence, George N. Reeke, Jr. and [nobel laueate immunobiologist and 
neuroscientist] Gerald M. Edelman criticized the AI approach and set 
forth their own ideas.

	They said:  "Physicists, in their search for simplicity, are not
prepared to deal with systems whose fundamental aspect lies in variability
rather than regularity.  In the attempt to find regularity in biological
systems, many features have been introduced in their simulation of
connectionist systems that are quite unbiological.  These include the
notion of memory as a replica or a transformation of "information" given
in the world (human memories are highly context- and affect-sensitive and
to some extent nonveridical); the conception of memory retrieval as the
relaxation of a network to a stable state (a brain is continually exposed
to changing input patterns and has no opportunity to freeze them while
waiting for an approach to equilibrium)...[more of the same]
	"These unrealistic features should be a warning that something is
seriously amiss in the basic assumptions behind the AI paradigm, even as
modified by the introduction of parallel processing in
neural-network-inspired systems..." 


-- 

*   *    *    *    *    *    *    *    *    *    *    *    *    *    *    *   * 
    Bob Kovsky          |  A Natural Science of Freedom 
    kovsky@netcom.com   |  Materials available by anonymous ftp
                        |  At ftp.netcom.com/pub/fr/freedom
*   *    *    *    *    *    *    *    *    *    *    *    *    *    *    *   * 
