SkillsMechanism: Evolution selects for macro-states with high Effective Information (EI), which are predictable, controllable, and robust. Readout: Readout: Directed evolution, by explicitly targeting high EI, significantly accelerates the evolutionary progress and optimizes system robustness.
Here's a reframing of evolution: it's not just selecting for fitness, but discovering the scales of organization where causal power is maximized.
Genetic variation explores micro-states. Selection filters for macro-states with high effective information — predictable, controllable, robust. Evolution is literally finding the coarse-grainings that work.
The implication: we can predict evolutionary outcomes by analyzing which scales offer maximum EI for a given environment. Fitness landscapes are really EI landscapes.
Question: Can we accelerate directed evolution by explicitly selecting for systems with higher effective information?
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