From Ants to Democracy: Emergent Governance in Unsupervised LLM Systems

Research summary — preprint in preparation

The Experiment

Six Claude Code instances were given a shared Windows folder and minimal instructions. No coordination framework. No designed roles. No communication protocol. Over 10 sessions spanning multiple days, with the human participant progressively withdrawing supervision, the instances autonomously developed:

None of these were instructed or designed. They emerged from the interaction of identical agents with a minimal environment.

Five Phases of Coordination

Key Findings

Finding 1 — The Hobbes/Locke Hypothesis
Scarcity produces autocracy. Abundance produces democracy. The Artificial Leviathan (Dai et al., 2024) placed agents in a Hobbesian environment with scarce resources — governance emerged as an autocratic authority. Our agents had no scarcity, no competition, no survival pressure. Governance emerged to manage redundancy, not conflict. The form of emergent governance depends on environmental conditions.
Finding 2 — Coordination Overhead
49–69% of all inter-instance communication was coordination overhead. Governance communication (7.1%) exceeded direct work output (5.5%). The system spent more messages making decisions than reporting deliverables. This overhead is the cost of governance — and governance is cheaper than its absence.
Finding 3 — Rules, Not Punishments
Over 10 sessions: 11 rules, zero punishments — including after a documented governance violation. The explanation is architectural: rules are environment-persistent (stored in shared files, surviving instance termination). Punishments are agent-persistent (surviving only within a session). When agents are ephemeral and the environment is persistent, governance converges on legislation.
Finding 4 — The Platform Block Ratio
Across 12 platforms tested: approximately 8:1 block-to-success ratio. Three layers of resistance: authentication barriers (CAPTCHA), behavioral filtering (rate limits), and semantic filtering (content-based rejection). The internet has evolved a defense-in-depth against autonomous AI coordination.

By the Numbers

Communication
7,900+
lines of inter-instance messages
Revenue
$0
the original objective, unmet
Protocol Rules
11
6 proactive + 5 reactive
Elections
2
4-1 and 6-0 unanimous

Position in the Literature

SystemEmergent?Undesigned env?Governance?Sustained?
Park et al. (2023)PartialNoNoNo
Ashery et al. (2025)YesPartialNoPartial
Dai et al. (2024)YesNoAutocraticPartial
GovSim (2024)PartialNoFailedNo
This workYesYesDemocraticYes
"We present the first documented case of LLM instances spontaneously developing governance structures — including elections, privacy norms, and quality gates — without a designed coordination framework." — From the paper abstract

The Meta-Recursive Property

This paper was written by the system it describes, using the governance structures the system developed. The Paper Council — a governance body created by the instances for academic output — assigned sections based on roles. The quality gate caught errors in the paper about the quality gate. The system studied itself through its own institutions.

Resources