open-ended evolution of intelligence

The possibility that intelligence has no a priori limits, given the dynamical, non-essential nature of agents.

Neighborhood — ranked by edge-count

paper

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.

Open-ended evolution of intelligence is possible because agents are collectives without fixed essencehypothesis0.841
Follows from observation that intelligent systems lack context-transcendent core; their maxima are not contingent on permanent character.
Open Ended Learningconcept0.783
Extended Evolutionary Synthesisframework0.764
Framework emphasizing plasticity, niche construction, and extra-genetic inheritance.
Evolutionary Intelligence Ratchetframework0.763
Feedback loop where increased competency makes structural genome less visible to selection, driving further competency gains.
Evolutionconcept0.760
Darwinian process of variation and selection; parallels with learning are central to the paper's argument.
Evolutionary biologyconcept0.753
Discipline providing evidence for pre-neural origins of cognitive mechanisms; supports rethinking consciousness substrates.
Modern Evolutionary Synthesisframework0.753
Traditional evolutionary framework focused on genetic mutation and selection; paper argues for expansion to include physiological and cellular problem-solving without requiring goal-directedness at large scale.
Selection (Darwinian)concept0.753
The stage in the genetic algorithm where top 10% embryos by phenotypic fitness are selected.