The paper proposes an “Internet of Agentic AI” in which autonomous agents discover each other, negotiate responsibilities, exchange context, coordinate workflows, and operate across organizational boundaries. The framing draws heavily from distributed systems, collective intelligence, and decentralized coordination.
Particularly relevant to Natural vs Artificial Intelligence is its focus on controlled emergence, incentive-compatible coordination, trust architectures, interoperability, and large-scale agent ecosystems. The manufacturing and operational coordination case studies move the discussion beyond theory toward deployable systems.
