AETRE & The Governed Agent MCP server

AETRE & The Governed Agent: Unified Decision-Theoretic Operating System

"Governing Autonomous Intelligence in the Age of Abundance."

A high-performance, mathematically unified decision-theoretic operating system uniting macroeconomic proposal/portfolio triage (AETRE) and microeconomic execution governance (The Governed Agent).

Release status: experimental public alpha. The software and mathematical

simulations are testable, but the bundled data are synthetic and do not

establish prospective effectiveness in a live conference, grant, or

investment workflow. Use outputs as decision-support diagnostics, not as

autonomous acceptance, rejection, funding, or investment decisions.

Based on the research series by Clayton Gray (2026):

Clayton Gray (2026a) — SSRN: 7161458

1. The Innovation-Absorption Gap: How Artificial Intelligence Can Accelerate Idea Production Faster Than Complementary Institutions Adapt

Clayton Gray (2026d) — distributed within the replication bundle The Implementation Frontier: Capital Allocation, Deliberative Stopping, and Verified Agent Gatekeeping (Zenodo: 10.5281/zenodo.22814799)

1. The Admission Frontier: An Economically Regulated Decision-Theoretic Runtime and Fail-Closed Verification Gate for Autonomous Agents

This software is archived under its own DOI, separate from the papers above: AETRE: Adaptive Epistemic Triage & Recall Engine (Zenodo: 10.5281/zenodo.22098366).

The Problem: The Innovation-Absorption Gap

When Artificial Intelligence makes idea and action generation cheap ($c_{\text{gen}} \to 0$), proposal and execution volume ($N$) explodes. However, downstream evaluation, laboratory validation, code review, and human gatekeeper capacity ($K$) remain strictly finite.

This creates three critical pipeline pathologies:

$$E[Wq] \approx \frac{\rho}{1-\rho} \cdot \frac{ca^2 + c_s^2}{2} \cdot \frac{1}{\mu}$$

1. The Kingman Delay Explosion: When evaluator utilization $\rho = \lambda / \mu$ approaches saturation ($\rho > 0.85$), wait times shoot up non-linearly according to Kingman's Heavy-Traffic equation:

$$RN \le \min\left(1, \frac{KN}{H_N}\right) \to 0 \quad \text{as } N \to \infty$$

1. The Asymmetric Payoff Trap: In heavy-tailed domains like venture capital, breakthrough discovery, and agentic code patches (Pareto index $\alpha \approx 1.25$), consensus-seeking scoring systems penalize high-variance, transformative outliers in favor of safe, incremental proposals.
2. The Finite-Capacity Recall Ceiling (Proposition 1): Without active epistemic triage, true breakthrough recall asymptotically decays towards zero as arrival rates surge:

Two-Layer Decision-Theoretic Architecture

AETRE unifies Macroeconomic Pipeline Triage (managing institutional review bandwidth and portfolio recall) with Microeconomic Execution Governance (safeguarding agentic execution runtimes and pull-request verification).

Shortened. The full README is on GitHub.