framework
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framework:connectionist-approach-to-evolutionary-transitions-in-individualityConnectionist Approach To Evolutionary Transitions In Individuality
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Thinkers (2)
thinker
- Michael Levinassociated_with
- Richard Watsonassociated_withCo-author; Electronics and Computer Science/Institute for Life Sciences, University of Southampton; develops connectionist frameworks for collective intelligence.
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.
- Proposed framework translating connectionist learning principles into natural selection domain to explain ETIs.
- Formal equivalence between evolutionary variation/selection and connectionist learning.
- Concrete proposal about necessary architecture for ETIs.
- Links ETIs to the learning of hierarchical representations.