Biology embraces a process ontology in which perspectives and agency are primary; change drives intelligence.

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

• Biology commits to optimizing salience and meaning, not fidelity, via high-level, agent-based interpretation.claim0.820
  Central claim that biological memory prioritizes gestalt over details.
• Biology's robustness, open-endedness, evolvability, and unique complexity likely depend on the fact that evolution works with an agential material.claim0.809
  Central claim linking life's properties to the inherent competencies of its material substrate.
• Progress in machine behavior science and biohybrid engineering breaks down the simplistic dualism of life vs. machine, revealing a continuum of emergence, rational control, and agency.claim0.789
  Second central claim: life and machine form a continuous multidimensional space, not discrete bins
• The evolutionary process contains an intelligence ratchet: as competency increases, selection struggles to see the structural genome, further driving selection for competency mechanisms.claim0.788
  Explains why planaria with messy genomes have robust morphologies.
• Biology employs a multiscale competency architecture where each level solves problems with some degree of competency in its own problem space.claim0.782
  General structural claim about organization of life.
• The process itself is to be part of nature.claim0.782
• 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.hypothesis0.781
  The core process theory hypothesis set up in the paper.
• AI and Biological Cognition Share Mechanistic Principlesclaim0.781