method
active
method:fitness-function-l2-distanceFitness function (l2-distance)
Quantitative metric of closeness of embryo to target pattern; d = (1/N²) Σ(E_ij - T_ij)² with exponential scaling d' = 9^d.
Neighborhood — ranked by edge-count
Frameworks (1)
framework
- Agent Based Model Of MorphogenesisimplementsComputational simulation modeling cells as agents with homeostatic loops interacting through stress sharing.
Methods (1)
method
- L2 distance fitness metricrelated_tosame_asQuantitative measure of morphogenetic success: Euclidean distance between evolving embryo phenotype and target smiling-face pattern.
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.
- Evolutionary force favouring solutions like stigmergy to overcome topological limits
- In RL, a scalar signal from the environment that defines the agent's goal; in active inference, reward is just another observation with associated preference.
- Kauffman's concept of the coupling between an evolving genotype and its fitness landscape as generating internal ordering tendencies in evolution
- Subjective reward signal from Dubey et al. 2022 balancing objective reward, expectations, and comparisons; extended in this paper
- Neuronal dynamics computed from free energy gradients; interpreted as average firing rate of neural populations.
- The space of the model's parameter matrices, where VPD operations take place.