Intelligence as adaptive plasticity and observer-dependent measurement

Frameworks recognizing that intelligence, consciousness, and biological organization emerge from adaptive capacity and observer limitations, spanning AI systems to developmental biology through 2020s research.

5 members. Each node is clickable.

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Drawn from 4 sources

The papers/notes whose extracted claims & findings make up this cluster.

Bridges (3)

Other communities that share members with this one — cross-cutting threads or papers that sit at the seam between two themes.

Alive AI interface ethics & design5 shared
Substrate-independent cognition & consciousness1 shared
Observer-relative computational information theory1 shared

Claims (4)

AI systems which possess more of the indicator properties are more likely to be conscious.Graded claim about the rubric.
Estimates of intelligence are observer-dependent and depend on the observer's limitations as much as the system.An epistemological claim of TAME that agency is not an objective property but is empirically determined by prediction and control efficiency.
The segmentation clock exhibits functional robustness consistent with James' definition of intelligence.Claims that the re-emergence and adaptation of the segmentation clock qualifies as intelligent behavior.
Under-estimating the capacity of a system for plasticity, learning, and intelligent problem-solving greatly reduces the toolkit of techniques for understanding and controlling its behavior.Type II error about cognition leads to missed opportunities for top-down control (e.g., training instead of rewiring).

Findings (1)

Paraxial mesoderm explants in 2D culture form segments circumscribing the explant circumference (Diaz-Cuadros and Pourquie 2021)Tissue achieves its segmentation goal despite being placed in a severely altered geometric context.