doug@dhw68k.cts.com (Doug Salot) (03/10/88)
I'm curious about what those who are familiar with neural-net literature
consider to be neural-net epochs. What papers are considered seminal?
In a cursory examination of the literature, I'd have to say that the
history goes something like Turing (1936), McCulloch & Pitts (1943),
Hebb (1949), Rosenblatt (1966), Minsky & Papert (1969), and after that
it's not at all clear to me what happens. Grossberg (late '70s)?
Wilshaw? Sutton & Barto? Hopfield?
Would you say Wiener and Cybernetics was a major influence? What about
Leibniz or Shannon?
BTW, has anyone considered using Usenet as a large grained neural network
to which you throw out a question like "what is the meaning of life?" and
watch it converge on a solution?
Thanks in advance for helping me complete this partial match,
- Doug
--
Doug Salot | {trwrb,hplabs}!felix!dhw68k!feedme!doug
CSUF School of Computer Thought | doug@dhw86k.cts.com
"The cobweb behind the Orange Curtain"| If it needs a :-), it isn't funny.olivier@boulder.Colorado.EDU (Olivier Brousse) (03/12/88)
In article <5779@dhw68k.cts.com> doug@dhw68k.cts.com (Doug Salot) writes: >I'm curious about what those who are familiar with neural-net literature >consider to be neural-net epochs. What papers are considered seminal? >In a cursory examination of the literature, I'd have to say that the >history goes something like Turing (1936), McCulloch & Pitts (1943), >Hebb (1949), Rosenblatt (1966), Minsky & Papert (1969), and after that >it's not at all clear to me what happens. Grossberg (late '70s)? >Wilshaw? Sutton & Barto? Hopfield? > >Doug Salot | {trwrb,hplabs}!felix!dhw68k!feedme!doug >CSUF School of Computer Thought | doug@dhw86k.cts.com >"The cobweb behind the Orange Curtain"| If it needs a :-), it isn't funny. Roughly speaking, I would say: Late seventies: Kohonen, on associative memories " " : Grossberg, on Adaptive Resonance Theory " " : Barto and Sutton Early eighties: McClelland, Rumelhart and the PDP group: Back-propagation, Boltzmann machines, Harmony theory, distributed representations, cognitive process modeling. " " : Hopfield, on analogy with physical systems. Olivier Brousse | Department of Computer Science | olivier@boulder.colorado.EDU U. of Colorado, Boulder |