claim
active
claim:evolution-actually-searches-not-only-genotype-space-but-a-more-tractable-space-of-behavior-shaping-signals-that-exploit-cellular-intelligenceEvolution actually searches not only genotype space but a more tractable space of behavior-shaping signals that exploit cellular intelligence.
Central thesis of the paper.
Source paper
extracted_from(2023) · Levin, Michael
Neighborhood — ranked by edge-count
Findings (2)
finding
- From Sullivan et al. 2016 and Emmons-Bell et al. 2015; demonstrates that large morphospace distances can be crossed by physiological manipulation.
Communities (2)
community
- Causal emergence in biological systemsmembers_ofExamines how macro-scale causal power exceeds micro-scale in living and learning systems.
- Frames evolution as producing goal-directed, problem-solving agents across nested scales of individuality.
Frameworks (1)
framework
- Traditional evolutionary framework focused on genetic mutation and selection; paper argues for expansion to include physiological and cellular problem-solving without requiring goal-directedness at large scale.
Concepts (1)
concept
- behavior-shaping signalsassociated_withHigh-level signals that exploit agential nature of cells to achieve outcomes without micromanaging hardware; evolution searches this space.
Questions (2)
question
- Core open problem: asks how cellular competency affords evolutionary speed and robustness despite the ruggedness of the genotype-phenotype mapping.
Claims (1)
claim
- Claim linking the indirect genotype-phenotype mapping to robustness and open-endedness.
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.
- Evolution learns to generalize beyond default morphologies, producing problem-solving machines.claim0.814Argues that evolutionary learning goes beyond specific adaptations.
- Explains why planaria with messy genomes have robust morphologies.
- Subclaim.
- Claims that scale-free dynamics, like bioelectric networks, are ancient and conserved.
- A claim about the outcome of the MCA-enhanced process.
- Claim about the primacy of bioelectric morphogenesis.