method
active
method:l2-distance-fitness-metricL2 distance fitness metric
Quantitative measure of morphogenetic success: Euclidean distance between evolving embryo phenotype and target smiling-face pattern.
Neighborhood — ranked by edge-count
Concepts (1)
concept
- MorphogenesisaboutProcess by which cellular collectives generate large-scale structure and form; presented as a collective intelligence problem.
Methods (1)
method
- Fitness function (l2-distance)related_tosame_asQuantitative metric of closeness of embryo to target pattern; d = (1/N²) Σ(E_ij - T_ij)² with exponential scaling d' = 9^d.
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.
- Quantitative measure of how well an embryo matches the target pattern; used for selection.
- Metric measuring the mean MSE between self and other-referencing activations across all hidden MLP/attention layers
- Metric introduced to quantify steering selectivity by comparing the area of target and off-target concept probes.
- Automated classifier returning binary 0/1 for presence of subjective experience report in model outputs
- An LLM-based classifier that returns 1 if response contains a clear subjective experience report and 0 otherwise
- A heuristic measure of degree of life in buildings, combining harmony (H) and temperature (T) to approximate the density of living centers.
- Kauffman's concept of the coupling between an evolving genotype and its fitness landscape as generating internal ordering tendencies in evolution
- Evolutionary force favouring solutions like stigmergy to overcome topological limits