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concept:all-active-agents-regardless-of-the-details-of-where-their-intelligence-comes-from-share-crucial-never-changing-functions-like-goal-directed-loops-of-action-and-perceptionAll active agents, regardless of the details of where their intelligence comes from, share crucial, never-changing functions like goal-directed loops of action and perception.
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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.
- Connects collective intelligence to evolutionary potential.
- Abstract and §3, preference learning section.
- Describes the dual SCI loop perspective.
- Central speculative claim blurring the line between data and algorithms.
- Central thesis: traditional static information theories fail to capture dynamic interaction necessary for understanding modern computing.
- Open-ended evolution of intelligence is possible because agents are collectives without fixed essencehypothesis0.793Follows from observation that intelligent systems lack context-transcendent core; their maxima are not contingent on permanent character.
- Figure 5.4 and text.