Evolution of back propagation: Who invented it?

Let's understand the evolution of back propagation. Who created it? Last video on multiplayer perceptron: https://youtu.be/poNXEd3jCwI RESOURCES [1 📚] 1847, Cauchy invented gradient descent. Here is the English rendition of this work with comments: http://www.kurims.kyoto-u.ac.jp/EMIS/journals/DMJDMV/vol-ismp/40_lemarechal-claude.pdf [2 📚] Hinton explaining the mechanics of back propagation introduced by Rumelhart, Williams and himself: https://www.youtube.com/watch?v=VCT1N0EsGj0 [3 📚] Proof that gradient vector points in the direction of steepest ascent: https://sootlasten.github.io/2017/gradient-steepest-ascent/ [4 📚] Online 3D plotter: https://c3d.libretexts.org/CalcPlot3D/index.html [5 📚] 1986 paper that is the most famous implementation of back propagation: https://www.semanticscholar.org/paper/Learning-representations-by-back-propagating-errors-Rumelhart-Hinton/052b1d8ce63b07fec3de9dbb583772d860b7c769 [6 📚] Henry J Kelly’s 1960 paper on determining the Optimal flight path and hence developing their own version of back propagation: https://gwern.net/doc/statistics/decision/1960-kelley.pdf [7 📚] Backstory of back propagation: https://yuxi-liu-wired.github.io/essays/posts/backstory-of-backpropagation [8 📚] Tourist guide to differential equations by 3blue1brown: https://www.youtube.com/watch?v=p_di4Zn4wz4 [9 📚] Khan Academy on derivatives, directional derivatives: https://www.khanacademy.org/math/multivariable-calculus/multivariable-derivatives/gradient-and-directional-derivatives/v/gradient [10 📚] A nice tutorial on reverse mode automatic differentiation: https://rufflewind.com/2016-12-30/reverse-mode-automatic-differentiation [11 📚 ] Everything you need to know about control theory. Amazing resource: https://youtu.be/lBC1nEq0_nk?si=-Jkh7PZl0bjY6LGE [12 📚] Thesis by Paul Werbos in 1974 (one of the first successful implementations of a back propagation learning procedure on a multi-layered perceptron): https://gwern.net/doc/ai/nn/1974-werbos.pdf