claim

active

claim:the-conditions-necessary-to-evolve-a-new-level-of-individuality-are-described-by-the-conditions-necessary-to-learn-non-decomposable-functions-deep-model-induction

The conditions necessary to evolve a new level of individuality are described by the conditions necessary to learn non-decomposable functions (deep model induction)

Core interpretive claim of the paper connecting ETIs to connectionist learning

Source paper

extracted_from

Design for an Individual: Connectionist Approaches to the Evolutionary Transitions in Individuality

(2022) · Watson, Richard A. · Levin, Michael · Buckley, Christopher L.

Neighborhood — ranked by edge-count

Hypotheses (1)

hypothesis

H2: The conditions necessary for the induction of deep models, familiar in connectionist models of learning and cognition, are predictive of the conditions necessary for an ETI to occur.
supports
Second hypothesis linking learning theory directly to evolutionary transitions

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

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

Conditions necessary to evolve new individuality level are described by conditions for learning non-decomposable functions (deep model induction)hypothesis0.959
Evolutionary transitions in individuality constitute a form of deep model induction.claim0.852
Links ETIs to the learning of hierarchical representations.
For a new level of individuality to have causal role as evolutionary unit, heritable fitness differences must be non-aggregative (not decomposable into lower-level differences).claim0.829
Core claim: monotonic non-linearities are insufficient; evolutionary outcomes must change depending on context.
ETIs are described by conditions necessary for deep learning / non-decomposable function learninghypothesis0.822
Functional relationships required for new individuality level encode non-linearly separable functions and are enacted via information integration and collective actionhypothesis0.817
Developmental interactions required for evolutionary individuality must be able to coordinate solutions to non-decomposable functions (division of labour games)claim0.815
Developmental process is identified as computing non-linearly separable collective phenotypes
H1: Individuality requires a dynamical process (development), mediating the plastic expression of components in the context of one another, with the specific form of computing a collective character that is a non-linearly separable function of (embryonic) particle characters, with the effect of coordinating reproduction based on this collective character.hypothesis0.807
Main hypothesis about the architecture of individuality
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.claim0.806
Core conjecture linking evolutionary and organismic individuality.