A framework for distilling repositories into compressed cognitive functions and instantiating them as timestamped, integrity-verified stigmergic traces.
-
Updated
Mar 20, 2026 - Jupyter Notebook
A framework for distilling repositories into compressed cognitive functions and instantiating them as timestamped, integrity-verified stigmergic traces.
Critical reflection on AI and cognition: what’s missing for machines to think like humans.
Structural process model of autonomous rational systems
Add a description, image, and links to the cognition-cognitive-science-ai topic page so that developers can more easily learn about it.
To associate your repository with the cognition-cognitive-science-ai topic, visit your repo's landing page and select "manage topics."