concept
active
concept:dna-sequence-similarityDNA Sequence Similarity
A matrix-computation problem ideal for functional languages; Linda's explicit live data structures match functional elegance with runtime control.
Neighborhood — ranked by edge-count
Frameworks (1)
framework
- Crystalassociated_withPure functional language with compiler-directed parallelism; Linda authors compare it on DNA sequence similarity computation.
Concepts (2)
concept
- DNA sequence comparisonrelated_toCompute-intensive problem used to compare Linda's explicitness with Crystal's functional specification.
- Lindaassociated_withThe core parallel programming model introduced in this paper, based on tuple space operations and orthogonal to any base language.
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.
- Computing paradigm using DNA fragments simultaneously as software and hardware logic gates, blurring hardware/software distinction
- Similarity measured with respect to network behavior/function rather than statistical correlation of activations.
- Structural and functional property exhibited by living systems but currently absent from most engineered machines.
- Kin-selection basis for cooperation; shown insufficient to explain all ETIs, especially those with genetically unrelated components.
- A shared repository (the Internet) where morphogenetic sequences are stored, exchanged, mutated, and improved by the public.
- Correlating attribution vectors (feature activation × logit weight of next token) across model pairs to measure functional universality
- Model-independent feature comparison based on correlating activation vectors across a fixed diverse dataset