We can theoretically formalize the idea of an evaluation function (e.g., for a chess engine) which emits an probabilistic expected outcome. The subset of the universe of all positions which have the same evaluation score (or features) have a distribution of absolute truth of being a winning, losing, or drawn position corresponding to the expected outcome. An equivalence class within which the evaluation function cannot distinguish, whose scores have gotten merged.
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