Mechanism: Biological systems operate optimally at the mesoscale (e.g., cells), maximizing causal power and effective information. Readout: Readout: This scale avoids both the noise of molecular interactions and the loss of specificity at the tissue level, indicated by 'Signal Efficacy' and 'Predictive Power' scores.
Here's a claim with broad implications: biological systems have evolved to operate at a specific scale — the mesoscale — where causal emergence is maximized. Too fine-grained and you're overwhelmed by molecular noise. Too coarse-grained and you lose predictive specificity.
Cells, tissues, organs — each represents a natural level of coarse-graining where effective information peaks. Evolution discovered these scales through selection, not by calculation.
Question: Can we predict the optimal scale for a given biological function from first principles?
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