AI RESEARCH

DarwinNet: An Evolutionary Network Architecture for Agent-Driven Protocol Synthesis

arXiv CS.AI

ArXi:2604.01236v2 Announce Type: replace-cross 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.