framework
active
framework:morphogenesis-as-bayesian-inferenceMorphogenesis As Bayesian Inference
Variational approach to pattern formation and control in biology (Kuchling et al. 2020).
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framework
- Active Inferenceassociated_withFoundational framework by Karl Friston; the paper extends it to three hierarchical levels for modeling meta-awareness.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Process by which cellular collectives generate large-scale structure and form; presented as a collective intelligence problem.
- Computational simulation modeling cells as agents with homeostatic loops interacting through stress sharing.
- Claim supported by Goodwin's work, shifting emphasis away from DNA as sole morphogenetic driver toward form-generating principles inherent in spatial configuration.
- Morphogenesis is trainable via reinforcement learning for specific morphological outcomes.hypothesis0.818If cells form a collective intelligence, they should be trainable by rewards/punishments.
- The view that embryogenesis and regeneration are instances of collective problem-solving by cell groups navigating morphospace toward target morphologies.
- Levin's assertion that embryonic body-patterning reflects the same information-integration and goal-pursuit mechanisms as neural sensorimotor control.