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A framework for distinguishing the value of inherited preferences from the effects of control design and update allocation is provided, clarifying how inherited learning should be evaluated in artificial populations.
Cryptic ligand-binding pockets are not apparent in experimentally determined apo structures, making them difficult to identify from unbound receptor geometry. A complementary challenge is to make the structural measurements and learned evidence behind each prediction directly inspectable. We introduce a supervised alge...
This analysis explains why conditional mutual information alone cannot certify escape and measures variation among intervention-conditioned updates rather than departure from the no-intervention law.
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