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Optimizing systems for efficiency under normal conditions systematically creates vulnerability to abnormal conditions because efficiency requires eliminating the slack that absorbs shocks
Efficiency optimization creates fragility through a specific mechanism: efficiency requires predictability, and predictability requires eliminating redundancy, slack, and excess capacity. But redundancy, slack, and excess capacity are precisely what enables a system to absorb unexpected shocks. The
active inference operates at every scale of biological organization from cells to societies
The free energy principle (FEP) extends beyond neural systems to explain the dynamics of living systems across all spatial and temporal scales. From molecular processes within cells to cellular organization within organs, from individual organisms to social groups, each level of biological organizat
nested markov blankets enable hierarchical organization where each level minimizes prediction error while participating in higher level dynamics
Biological systems exhibit a nested architecture where Markov blankets exist within Markov blankets at multiple scales simultaneously. A cell maintains its own statistical boundary (membrane) while being part of an organ's blanket, which itself exists within an organism's blanket, which participates