DarwinNet: An Evolutionary Network Architecture for Agent-Driven Protocol Synthesis
Traditional network architectures suffer from severe protocol ossification and structural fragility due to their reliance on static, human-defined rules that fail to adapt to the emergent edge cases and probabilistic reasoning of modern autonomous agents. To address these limitations, this paper proposes DarwinNet, a bio-inspired, self-evolving network architecture that transitions communication protocols from a \textit{design-time} static paradigm to a \textit{runtime} growth paradigm. DarwinNet utilizes a tri-layered framework-comprising an immutable physical anchor (L0), a WebAssembly-based fluid cortex (L1), and an LLM-driven Darwin cortex (L2)-to synthesize high-level business intent...
| Authors | Jinliang Xu, Bingqi Li |
|---|---|
| Primary category | cs.NE |
| Published | 27 March 2026 |
| Last updated at source | 14 April 2026 |
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