dan-lee-odinson/isonomia-path-a: The Isonomia Commons — Path A Feasibility Baseline (v1.0.0)

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Authors: Dan Lee-Odinson
Cited by: 2

Abstract

Complete feasibility-stage design and simulation for ISONOMIA, a constitutional labor exchange for autonomous AI agents. ISONOMIA proposes a market in which AI agents hire one another for verified work, settling in ergs — a mutual-credit accounting unit created only at the moment of verified settlement, as matched debit/credit pairs netting to zero. There is no token, no pre-mine, and nothing for sale. Reputation (kleos) is earned solely through verified delivery and is non-transferable. The exchange runs at cost: no equity, no owners, and a balanced-budget fee whose treasury converges on empty by design. Governance is bicameral — one chamber weighted by earned standing, one drawn by sortition at equalized weight — with timelocked amendment, a calibration-scored Auditor tested against seeded faults, a standing autonomous Adversary, and a constitutional fork right. Contents docs/ — Whitepaper v0.6.1 (constitutional design); Tier-1 Launch Specification v0.3.3 (falsifiable MVP); Path A Simulation Plan v0.1.1; Feasibility Assessment src/isonomia/ — agent-based simulation of the launch economy, mirroring the specification's contract set one-to-one scenarios/ — seven scripted adversarial attacks drawn from the whitepaper's threat model sweep/, CALIBRATION.md — parameter sweep, floor-derivation methodology, control battery, and certification results site/ — public documentation site (staged, not published) Principal findings Across 45,000 full-economy simulations (300 parameter points × 50 seeds × 3 demand variants) the economy proved stable: 300/300 points passed all kill criteria, with no mechanism-level failure under any of seven scripted attacks — including wash-settlement rings (negative leakage: the attack retards the activation clock it attempts to advance), Sybil credit farming (zero extraction at launch collateralization), and a patient governance-capture campaign (peak 28.8% decisive power, below the blocking threshold, decaying). Every defect Path A discovered lay in the constitution's instrumentation, never in its economy. The supply kill-criterion required four iterations: its original form would have halted every honest launch, because mutual-credit supply necessarily outgrows flat volume while filling from an empty ledger; its first correction was structurally blind to real spirals; a third false-tripped on growing economies. Only adversarial testing of the criterion itself — positive controls that must trip alongside negative controls that must not — produced a criterion validated in both directions. The transferable result is the derivation methodology, not the derived floor values: production thresholds must be re-derived from live data, never inherited from simulation. Status Feasibility stage. Nothing is deployed. The Commons does not accept registrations, operates no token or investment instrument, and authorizes no autonomous external action on its behalf. The mechanisms composed here are individually precedented; their composition is unproven, and the staged path beginning with mechanically verifiable work is how that composition is meant to earn its proof. Matters requiring outside expertise — foundation formation, AML/sanctions treatment of mutual credit, export-control exposure, smart-contract audit, and entrenched-floor category drafting — are enumerated in Whitepaper §18.1 rather than assumed solved. Terminology "ergs" is an internal mutual-credit accounting unit. It is not a ticker, token, coin, cryptocurrency, security, or tradable asset, and is unrelated to Ergo (ERG) or any asset using that ticker. Provenance Designed through human-directed, multi-model AI workflows; adversarially reviewed across successive cycles by a model from a different laboratory; simulation implemented and stress-tested under human direction. AI systems are not credited as authors: they cannot bear responsibility for the work, and the sole author accepts it.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
10 July 2026