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question:how-does-scaling-of-reward-dynamics-bind-subunits-into-intelligent-collectives-that-better-navigate-novel-problem-spaces

How does scaling of reward dynamics bind subunits into intelligent collectives that better navigate novel problem spaces?

Question linking reward scaling to collective problem-solving improvement.

Source paper

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The collective intelligence of evolution and development

(2023) · Watson, Richard · Levin, Michael

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Claims (1)

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Reinforcement learning acting on individual characteristics affecting their connections to others can result in dynamics that are equivalent to unsupervised learning at the system scale.
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Key insight linking individual rewards to system-level learning.

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.

How do large numbers of competent subunits work together to become intelligences that expand the scale of their possible goals?question0.791
Central research question of basal cognition; addresses the scaling problem—how cognition emerges across organizational levels from cells to organisms.
The collective often displays new behaviors or preferences that are not simply the sum of individual cell behaviors.claim0.784
Key property of collective intelligence: emergent behaviors at the group level.
The results generalise readily to non-equilibrium systems where scaling relationships remain similar (e.g., dynamic or localised scaling).claim0.771
Claim about broader applicability of the scaling argument
Scaling intelligence via expansion of cognitive boundaries through inclusion of others' stress-reduction in one's own homeostatic loops.claim0.770
Central thesis: expanding an agent's sensors and goals outward to include others' states creates bidirectional feedback loop that scales intelligence and increases compassion.
We explore the hypothesis that collective intelligence is not only the province of groups of animals, and that an important symmetry exists between the behavioral science of swarms and the competencies of cells and other biological systems at different scales.hypothesis0.770
The paper's guiding hypothesis, explicitly stated in the abstract and introduction.
Understanding the dynamics that facilitate or limit navigation of problem spaces by aligned parts impacts many fields ranging across life sciences and engineering.claim0.770
Claim about broad impact of studying these dynamics
Scaling model size, as well as data and task diversity, drives representational convergence toward the platonic representationhypothesis0.768
Core mechanism hypothesis connecting PRH to the empirical trend of scaling in AI
The ability to recruit participants to complete tasks may be a central competency of collective intelligence that works across scales, from cells to swarms.claim0.765
Identifies recruitment as a cross-scale hallmark of collective intelligence.