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method:halley-plot-biomorph-fractal-generationHalley Plot / Biomorph Fractal Generation
Algorithmic generation of complex, life-like fractal patterns from short complex-number functions, used to argue patterns can be indexed rather than compressed.
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Papers (1)
paper
Frameworks (1)
framework
- The paper's central proposed framework: a structured, non-physical, causally efficacious latent space of patterns ranging from static mathematical truths to full kinds of minds, which 'ingress' into physical embodiments.
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.
- Core definition of living process as intentionally form-creating, in contrast to fragmented modern processes.
- Paper on the space of possible biological forms relevant to diverse intelligence
- Historical finding cited for its illustrative value despite its empirical incorrectness
- Biological evidence that blueprint planning is fundamentally incompatible with the variety seen in nature.
- Self-similar convergence-time basins the paper finds in reasoning models' latent initial-condition space, growing with task difficulty.
- Generalizing interpretation connecting this paper's AI findings to physical analogue computation broadly.
- Replication check ruling out that fractal basins arise only from one model-task pairing.
- Extends the brutal geometry thesis beyond architecture into all creative and social domains; acknowledged as not yet confirmed with certainty