concept
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concept:reinforcement-learning-of-tissuesReinforcement learning of tissues
The hypothesis that cellular collectives can be trained via rewards/punishments to produce specific morphological outcomes.
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Hypotheses (1)
hypothesis
- Ongoing experimental test: using rewards and punishments to shape anatomical outcomes without micromanaging molecular pathways.
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.
- Proposed experimental paradigm to train morphogenesis using rewards and punishments, treating tissues as learning agents.
- Alternative framework for agent behavior; based on reward maximization rather than free energy minimization.
- Method for fine-tuning LMs based on human preferences; mentioned as combining RL and LMs.
- AI training method inspired by behaviorism, used for autonomous cars and drones; cited as bioinspired success
- Machine learning paradigm where agents learn to maximize cumulative reward through interaction.
- Ongoing test prediction: tissues can associate stimuli with rewards to modify anatomy.