The evaluation function would know whether the condition that dictates the switch between one method of scoring features and another is satisfied or not. So there would be no 'flipping'; it is just that some leaves would be evaluated according to one method, and other leaves according to another method. When that reflects reality, blurring the transition would just lead to misevaluation.likeawizard wrote: ↑Thu Aug 11, 2022 7:29 pm With my basic understanding evaluation discontinuity is a problem the transition from middle game eval to endgame eval is accomplished in an ungraceful manner. Where a continuous improvement of the position can at an arbitrary point switch to a different evaluation model and completely change the picture. Wouldn't this result in the search algorithm exploring potentially good positions only to flip back and forth. Isn't there value in variations progressing more gracefully and continuously?
A good example is promotion of a passer; by advancing it 6 steps from its initial position you will in the end gain some 900cP. But virtually all of that comes from pushing it from the 7th to the 8th rank. Awarding the gain gradually 'to avoid a discontinuity' as 150cP per step will lead to a ludicrous over-estimate of the value of a 7th-rank passer.
If almost every aspect of evaluation is highly discontinuous, why would it be a special problem for search if the transition from middle-game to end-game is also discontinuous?