Evolutionary transitions in individuality constitute a form of deep model induction.

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• The conditions necessary to evolve a new level of individuality are described by the conditions necessary to learn non-decomposable functions (deep model induction)claim0.852
  Core interpretive claim of the paper connecting ETIs to connectionist learning
• Conditions necessary to evolve new individuality level are described by conditions for learning non-decomposable functions (deep model induction)hypothesis0.841
• We hypothesise that ecological models fall short of demonstrating spontaneous evolution of a new level of individuality because they are single-level networks of symmetric interactions.hypothesis0.808
  Explains limitation of current ecological connectionist models.
• Deep Model Inductionframework0.808
• Evolutionary Transitions In Individualityconcept0.803
• Evolutionary transitions to new complex life forms mirror Alexander's levels of scale, each producing new nested centers with division of labor and interdependence.claim0.803
• Connectionist Approach To Evolutionary Transitions In Individualityframework0.802
• The kind of relationships necessary to produce evolutionary individuality – the generation and heritability of fitness differences at the collective level – are the same as those required to produce organismic individuality – the information integration and collective action characteristic of a self.claim0.802
  Core conjecture linking evolutionary and organismic individuality.