claim
active
claim:most-biological-systems-consist-of-multiple-nested-selves-not-oneMost biological systems consist of multiple nested selves, not one
Levin critiques Integrated Information Theory's implication of singular unified self, arguing Scale-Free Cognition requires recognition of nested agents at each organizational level.
Source paper
extracted_from(2019) · Levin M
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Communities (3)
community
- Causal emergence in biological systemsmembers_ofExamines how macro-scale causal power exceeds micro-scale in living and learning systems.
- Identity and memory persist functionally across radical material change, rejecting fixed biological substrates.
- Systems that self-produce through functionally closed loops, organizing hierarchically with peripheralized non-autonomous subsystems, inspired by Maturana and Varela's autopoiesis framework.
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.
- Selves can be nested and overlapping, cooperating and competing both laterally and across levels.claim0.804Key TAME claim that biological systems are patchworks of agents, with higher Selves deforming option spaces for lower ones.
- Conclusion about why biology organizes complexity well and flat LLMs do not
- Extends the collective view to all biological individuals.
- Supports the claim that selfhood boundaries are dynamically constructed rather than genetically predetermined.
- Predictive claim about the automatic spatial output of living process
- Empirical findings from developmental biology (Manicka & Levin, Lyon et al.) supporting mechanistic basis for individuality independent of genetic determination.
Cross-corpus bridges (2)
same_concept_as · Nomic cosineExternal markdown files that talk about the same concept as this entity.
- aboutblank_kbMulti-Scale Biological Organizationframeworks/multi-scale-biological-organization.md0.810
- aboutblank_kbSystems Biologyframeworks/systems-biology.md0.786