According to our previous papers, the Principle of Least Action explains the mechanism of increase of organization through quantity accumulation and constraint and curvature minimization with an attractor, the least average sum of actions of all elements and for all motions.
Thus, the observation by Moore is explained here as a part of this system of interfunctions driven by the Principle of Least Action. The visible oscillations of the data around the exponential and power-law fits (see Figures 2 and 3), which are their homeostatic values, can help explain the multiple logistic nature of technology substitution S-curves, by the negative feedback between the homeostatic values of the interfunctions, and the actual deviations of the data from them.
Chatterjee, "Principle of least action and convergence of systems towards state of closure," International Journal of Physical Research, vol.