concept
active
concept:emergenceEmergence
Creation of qualitatively new properties at higher organizational level; requires non-linear fitness interactions.
Neighborhood — ranked by edge-count
Thinkers (1)
thinker
- Irun Cohenassociated_with
Claims (1)
claim
- Strengthens distinction between monotonic non-linear interactions (explanatorily redundant) and non-decomposable interactions (causally significant).
Concepts (7)
concept
- Causal Emergencerelated_toCore concept: degree to which an agent exerts unique predictive power on its future; key to cognition at all scales.
- Emergence (as explanatory fallback)related_toThe standard 'it just happens' account of surprising complex outcomes that the paper argues is a research-stopping, defeatist move.
- Emergence Of Awarenessrelated_to
- Emergence Of Communicationrelated_to
- Morphogenesisassociated_withProcess by which cellular collectives generate large-scale structure and form; presented as a collective intelligence problem.
- Cellular Automataassociated_withFoundational computational paradigm of local rules producing emergent global behavior, extended by this work
- Fault Tolerance and Self-Healingassociated_withDiffLogic CA circuits exhibited emergent fault tolerance without explicit design for it
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.
- The property that through processes we do not understand, we can produce systems with capabilities we did not directly engineer — applies to both biological reproduction and AI
- Bedau's tripartite classification: nominal (pattern), weak (computationally irreducible), strong (irreducible downward causation).
- An AI development approach where no explicit theory of intelligence is implemented, allowing intelligence to emerge.
- Seth's quantitative emergence measure based on Granger causality.
- Load-bearing definition from the abstract.
- Buddhist concept formalised as embodied recognition that no finite agent can evidence its separability; equated with pruning sigma via BMR
- Darwinian process of variation and selection; parallels with learning are central to the paper's argument.