What question did this study set out to answer?

The aim is to present a framework for coordinating multi-agent AI systems by approaching this as a compilation and governance challenge.

May 16, 2026Open Access

ASA: Ant Social Architecture — A Compilable Governance Framework for Multi-Agent Cognitive Operating Systems

Key Points

The aim is to present a framework for coordinating multi-agent AI systems by approaching this as a compilation and governance challenge.
Developed over two years (2024–2026), the framework includes a semantic compilation pipeline that translates natural language into protocol objects.
Incorporates a compilable constitution to govern interactions among agents, supported by contractual execution.
Architecture encompasses six versions addressing protocol design, runtime execution, and autonomous self-governance.
Introduces a robust governance model that enhances coordination among multi-agent cognitive systems.
Facilitates evolution at the civilization level through designed protocols and governance structures.
Demonstrates adversarial verification as a key feature for ensuring compliance and functionality of agent interactions.

Abstract

This paper describes the Ant Social Architecture (ASA), a framework developed over approximately two years (2024–2026) that approaches multi-agent AI coordination as a compilation and governance problem. ASA introduces a semantic compilation pipeline that converts natural language into typed protocol objects (HPS, ISG, CRM, EBP, MIR, ECP, MHE), governed by a compilable constitution and enforced through contractual node execution with adversarial verification. The architecture spans six versions covering protocol design, runtime execution, civilization-level evolution, autonomous self-governance, federated networks, and constitutional economics. 37 pages, 26 references.

ASA: Ant Social Architecture — A Compilable Governance Framework for Multi-Agent Cognitive Operating Systems

Key Points

Abstract

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