Re:Machine learning is fundamentally conservative
by reilly3000 on Saturday January 04, 2020 @02:31AM
(#21953504)
That's a pretty interesting corollary! I suppose I could extrapolate that in such a system, too much change over too little time would invite a strong conservative response / lag to future input.
Our 20 year old millennium has seen a tremendous rate of change in both technology and social norms. Perhaps politics has some similar inertial dynamics.
And, from what I remember from my control theory classes, the integral part of a controller introduces lag, inertia, generally making the output more resistant to input changes.
(Also note that the "non-conservative" Proportional and Derivative components in a PID by definition don't learn - they react to input and its change.)