This is not another theory about why societies rise and fall — it is a measurement system.
The starting claim is that a human society belongs to the broad family of bonded, surplus-dependent adaptive systems. A nation is not literally an enlarged chimpanzee troop, yet beneath the institutional differences lies an older problem. Any social unit must coordinate action, manage conflict, distribute resources, preserve knowledge and respond to threat. The comparison does not reduce civilisation to zoology; it identifies the functional domain from which civilisation emerged. Its meta-animal is functional, not racial; diagnostic, not normative. A score is a state, not a grade. A trajectory is a history, not a destiny.
Independent research, not formally peer-reviewed. Every dataset, formula, and scoring protocol is published openly — scrutiny is not a challenge to this project, it is the point.
The name is technically misleading. Nations are only one scale at which this coordination anatomy appears. The same patterns show up in empires, civilisations, corporations, and organised collectives of any kind. "Neural Nations" is a misnomer — but it's poetically useful. It suggests something deeper than politics: the nervous system of organised human life.
CAMS is calibrated empirically from historical archives across many societies and eras. The node structure and metrics were derived from systematic observation, then stress-tested for consistency. This is independent research, not formally peer-reviewed. All datasets, formulas, and scoring protocols are published openly so that rigorous scrutiny is possible. Such scepticism is not a challenge to this project — it is the point.
Where to Start
What's New — September 2026
Kari McKern — researcher, former public servant, IT specialist, and geopolitical analyst based in Sydney. CAMS began as a question about modern geopolitics and became a framework for civilisational dynamics. The data are open. The model is documented. The work continues.
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"Patrolling the event horizon between the known and the unknown."