method
active
method:evolutionary-algorithmsEvolutionary Algorithms
Machine learning approach using evolutionary processes to generate and select designs, used to blur the designed vs. evolved distinction
Neighborhood — ranked by edge-count
Concepts (1)
concept
- BioinspirationimplementsUse of biological principles to guide machine design; the paper calls for systematic rather than ad hoc bioinspiration
Methods (1)
method
- Genetic Algorithm (GA)related_toEvolutionary search process used to evolve populations of embryos.
Claims (1)
claim
- Argument against origin story as basis for life/machine distinction
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.
- Evolutionary search algorithm used to evolve embryo populations through development, selection, and mutation stages across 1000 generations.
- Discipline providing evidence for pre-neural origins of cognitive mechanisms; supports rethinking consciousness substrates.
- Darwinian process of variation and selection; parallels with learning are central to the paper's argument.
- The change in genotype/phenotype frequencies over generations under selection, mutation, and development.
- Levin's model of how evolution repurposed ancient bioelectric machinery originally used for morphogenesis into neural control of behavior in 3D space.