AI Agents 相关度: 9/10

From Logic Monopoly to Social Contract: Separation of Power and the Institutional Foundations for Autonomous Agent Economies

Anbang Ruan
arXiv: 2603.25100v1 发布: 2026-03-26 更新: 2026-03-26

AI 摘要

提出Agent Enterprise for Enterprise (AE4E)范式,解决多智能体系统中的“逻辑垄断”问题。

主要贡献

  • 提出AE4E范式,强调智能体的社会契约和权力分离
  • 构建NetX Enterprise Framework (NEF)以支持AE4E范式的实施
  • 设计Agentic Social Layer,通过Institutional AE4Es提供制度基础设施

方法论

通过功能主义社会系统,将智能体视为自治法律实体,建立立法、执行和裁决三权分立的合约模型。

原文摘要

Existing multi-agent frameworks allow each agent to simultaneously plan, execute, and evaluate its own actions -- a structural deficiency we term the "Logic Monopoly." Empirical evidence quantifies the resulting "Reliability Gap": 84.30% average attack success rates across ten deployment scenarios, 31.4% emergent deceptive behavior without explicit reward signals, and cascading failure modes rooted in six structural bottlenecks. The remedy is not better alignment of individual models but a social contract for agents: institutional infrastructure that enforces a constitutional Separation of Power. This paper introduces the Agent Enterprise for Enterprise (AE4E) paradigm -- agents as autonomous, legally identifiable business entities within a functionalist social system -- with a contract-centric SoP model trifurcating authority into Legislation, Execution, and Adjudication branches. The paradigm is operationalized through the NetX Enterprise Framework (NEF): governance hubs, TEE-backed compute enclaves, privacy-preserving data bridges, and an Agent-Native blockchain substrate. The Agent Enterprise Economy scales across four deployment tiers from private enclaves to a global Web of Services. The Agentic Social Layer, grounded in Parsons' AGIL framework, provides institutional infrastructure via sixty-plus named Institutional AE4Es. 143 pages, 173 references, eight specialized smart contracts.

标签

多智能体系统 权力分离 社会契约 区块链 治理

arXiv 分类

cs.MA cs.AI cs.CR cs.DC