Action places an upper bound on the entropy of biological states, thereby conserving structural and dynamical integrity.

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Biology's robustness, open-endedness, evolvability, and unique complexity likely depend on the fact that evolution works with an agential material.claim0.790
  Central claim linking life's properties to the inherent competencies of its material substrate.
• An organism maintains its orderliness by continually extracting order from its environment, which it accomplishes by feeding on negative entropy.claim0.790
  Schrödinger's central claim about how life evades thermodynamic equilibrium.
• Biology commits to optimizing salience and meaning, not fidelity, via high-level, agent-based interpretation.claim0.784
  Central claim that biological memory prioritizes gestalt over details.
• The system acts to preserve as much of its structure as possible, removing as few symmetries as possible when symmetry breaking occurs.claim0.783
  Physical principle interpreted as a form of structure-preserving transformation, explaining phenomena like buckling and dew drops.
• A cannot measure the entanglement entropy across any internal boundary of its environment; it cannot verify that any part of the world it attends to is genuinely independent of everything else (Fields & Glazebrook 2023, Corollary 3.2)finding0.779
  Generalises the self-evidence impossibility to all boundaries; grounds the teaching that all dharmas are empty
• All neuronal processing and action selection minimize variational free energy, unifying perception, action, and learning.claim0.778
  Fundamental assertion: single imperative (free energy minimization) explains diverse cognitive and neural phenomena.
• Understanding the dynamics that facilitate or limit navigation of problem spaces by aligned parts impacts many fields ranging across life sciences and engineering.claim0.769
  Claim about broad impact of studying these dynamics
• Biological agents use a process theory of active inference where neuronal dynamics correspond to variational free energy minimisation for perception and expected free energy minimisation for action.hypothesis0.768
  The core process theory hypothesis set up in the paper.