framework
active
framework:kin-selectionKin selection
Neighborhood — ranked by edge-count
Claims (1)
claim
Frameworks (1)
framework
- Multi-Level Selection TheoryextendsFramework dividing covariance of character and fitness into between-collective and within-collective components; addresses limitation of kin selection.
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.
- Choice of policies minimizing expected free energy to realize preferred future states.
- Existing approach that uses genetic relatedness to explain cooperation; criticized as insufficient for explaining all ETIs.
- Adapted control task metric measuring difference between odds-ratio on original task and arbitrary-label control task
- Comparing models using log-evidence approximated by free energy.
- Choosing among candidate models based on model evidence.
- Assumption required by IIT/PyPhi; evaluated alongside Markov property for each candidate time series.
- The stage in the genetic algorithm where top 10% embryos by phenotypic fitness are selected.