Actually, very little. Most of the AI researchers in the 70's/early
80's
were working on one of the following:
1. PDP-10's running a very advanced operating system such as TOPS-20,
What do
you mean by "advanced"?
2. Things such as the Symbolics LISP machine,
specifically designed
for
AI research and with all sorts of spiffy hardware
features that
make
it automatic to do some really nice things (such as
actual
machine-level
"objects" that aren't just locations
in memory but are real data
types.
I HATE object oriented stuff. Hate it, hate it, hate it. At least in
C++, Java, and Visual Basic, which have been my only expoures to it.
Unfortunately, now if you go to a CS department
it's rare to see people
using anything other than generic Unix boxes. This is a crying shame,
as
Unix was a pretty poor choice of OS's in 1972 (when
it was started) and
on today's big computers it's a much, much poorer choice compared to
all the OS's developed by advanced research groups in the 70's and
80's.
Well, would any "advanced" OS like TOPS be suitable for modern
machines? Anyone want to be the second Linus Torvalds?
To get a feel of what life was like in a AI lab, you ought to read one
(or both) of the following:
_The Hacker's Dictionary_, compiled by Eric S. Raymond. (Yes, it is
mainly
just the jargon file, but there's also essays by
Raymond and others
which
nicely illustrate the AI researcher's "state
of mind" in the book.)
_The UNIX-Hater's Handbook_, discusses many OS's developed in the 70's
and 80's which are far superior to Unix, but never caught on because
they
weren't "lowest-common-denominator"
OS's.
Ironic that now it's the other way around -- we're pushing
UNIX-like
stuff like Linux, BeOS and Rhapsody, against DOS, Windows, NT, and
MacOS
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