Hinton did not invent backpropagation.

related paragraph from Wikipedia:

Modern backpropagation was first published by Seppo Linnainmaa as "reverse mode of automatic differentiation" (1970)[26] for discrete connected networks of nested differentiable functions.[27][28][29]

In 1982, Paul Werbos applied backpropagation to MLPs in the way that has become standard.

Paul Werbos did not apply backprop to MLPs as cleanly described in Hinton's paper, but rather to some kind of autoregressive non-linear parametrized functions with a much more specific application scope.

Both papers are direct applications of the chain rule applied to estimate the gradient of a multivariate function.