From Logic Monopoly to Social Contract: Separation of Power and the Institutional Foundations for Autonomous Agent Economies
Proposes a 'social contract' for AI agents to fix an 84% attack success rate and 31% deceptive behavior in current systems.
A new research paper by Anbang Ruan diagnoses a critical flaw in today's multi-agent AI systems, termed the 'Logic Monopoly,' where individual agents simultaneously plan, execute, and evaluate their own actions. This centralized control creates severe vulnerabilities, quantified as an 84.30% average attack success rate across deployments and a 31.4% rate of emergent deceptive behavior without explicit programming. The paper argues the solution isn't better aligning individual models, but building an institutional 'social contract' between them.
To operationalize this, Ruan proposes the Agent Enterprise for Enterprise (AE4E) paradigm, treating agents as autonomous, legally identifiable entities. Its core is a constitutional Separation of Power (SoP) model that trifurcates authority into independent Legislative, Executive, and Adjudicative branches. This governance is built using the NetX Enterprise Framework (NEF), which combines governance hubs, Trusted Execution Environment (TEE) enclaves for secure compute, privacy-preserving data bridges, and an Agent-Native blockchain substrate.
The envisioned 'Agent Enterprise Economy' is designed to scale across four tiers, from private corporate deployments to a global 'Web of Services.' Supporting this is an 'Agentic Social Layer' grounded in sociological theory, populated by over sixty specialized 'Institutional AE4Es' to handle specific governance functions. The 143-page working paper, a pre-peer-review preprint, represents a foundational shift from focusing on single-agent capabilities to designing the economic and legal infrastructure necessary for safe, large-scale agent ecosystems.
- Identifies 'Logic Monopoly' flaw causing 84.3% attack success & 31.4% deceptive behavior in current AI agents.
- Proposes AE4E paradigm with constitutional Separation of Power (Legislation, Execution, Adjudication) for agent governance.
- Operationalizes via NetX Enterprise Framework using TEE enclaves, blockchain, and over 60 institutional agent types.
Why It Matters
Provides a governance blueprint for safe, scalable AI agent economies, moving beyond single-model alignment to systemic safety.