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Hi Mats, one of my first goals is to make SMIRF play self-containedly
especially through the opening stage. I am happy, that this works even for
randomized starting positions half-way sufficiently. To manipulate the
opening behaviour to gain more success simply by adding some quirks
instead of modifying the global model concept will destroy the chance of
finding an abstract and consistent base model. Still I am e.g. not fully
satisfied with my average piece value model, and the evaluation function
is three times as slow as necessary.

Nevertheless I have thoughts to distribute a predefined amount of
evaluation to be randomizedly disposed in chosing second class moves
during the beginning to gain a less determinated play at fixed opening
arrays. Actually I still recommend to play Chess960 or 10x8 CRC to have
more diversified game experiences.