🚀 go-pugleaf

In article <60f4dc$d4j@andromeda.rutgers.edu>
           ohaneef@andromeda.rutgers.edu "Omar Haneef" writes:

> Louis Savain (savainl@earthlink.net) wrote:
> : In article <60bg0b$cbp$1@now.cirl.uoregon.edu>,
> : deej@now.cirl.uoregon.edu (David Joslin) wrote:
> 
> : >[...]
> : >And now you are back with *another* AI revolution.  Two AI
> : >revolutions in just over two years.  Pretty damned impressive.
> 
> :   No need to get excited, David.  We are not scientists, just computer
> : technologists with some ideas.  Two years ago we got overly enthused
> : by some results we obtained using Boolean networks.  We were wrong.
> : But we continued to work on our ideas and this time, we think we got
> : some important stuff.  You just be patient, amigo.  And, by the way,
> : this is not our revolution.  The temporal neuron revolution is coming
> : from neurophysiology and computational neuroscience.  Do a little
> : search on the web for these names:  Henry Markram, Terrence Sejnowski,
> : Cristof Koch and others.  You AI types should keep up with the
> : hard-science advances in neurophysiology.  Those folks are much closer
> : to the truth than most of you.  Ciao.
> 
> You forgot to mention Sutton and Barto. And I do hope that this is not 
> yet-another-recurrent-net spinoff. But here is a question: if it does
> causal relations, it won't be able to do logical form, right? I mean,
> if you represent solely temporally distinct events, what do you do 
> about representing simultaneous properties? (I have the greatest respect
> for Koch and Sejnowski, of course, but I won't take their word -- if it
> exists -- for it).
> 
>         -O
> 
See Rescorla's work. His 1988 American psychologist paper may  be 
worth a look too.

Elsewhere I have asked (rhetorically) whether it really is AI  to 
build and implement models of classical conditioning as  Rescorla 
and  Wagner did the late 60s and early 70s (and which Sutton  and 
Barto  contributed to later in the 80s). There is, in my  view  a 
considerable  difference  between AI (which may cash  out  to  be 
science  and technology in general) and  experimental  psychology 
and the neurobiology of learning. Those interested should look at 
Fragjn97.pdf at the www below.

-- 
David Longley (check end reply line #)

Longley Consulting                                                  London, UK
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