计算机科学
谈判
协议(科学)
计算机安全
主权
业务
计算机网络
主权国家
钥匙(锁)
政府(语言学)
鉴定(生物学)
工作(物理)
作者
Pamuditha Senanayake,Isuru Madugalla
标识
DOI:10.1109/scse70081.2026.11499863
摘要
Multi-agent systems are evolving from passive tools to autonomous representatives, but current architectures face a critical bottleneck: humans lack the cognitive bandwidth to locate optimal counterparties in large networks, while agents fail to resolve ambiguous constraints without excessive computational overhead. We introduce the Sovereign Negotiator Network (SNN), a hierarchical protocol, intelligent proxies negotiate on behalf of users through two key mechanisms: (1) Federated Society Routing, which organizes agents into specialized clusters, reducing discovery complexity from$O\left(N^{2}\right)$to$O\left(\frac{N}{k}\right)$, and (2) Human-Gated Context Injection, which enables users to inject preference updates only when negotiations reach deadlock, preserving autonomy while maintaining control. Validated on 100-agent networks using a hybrid Llama-3.2:1b (edge) and GPT-4o (cloud) architecture, SNN achieves an 87.6% reduction in token consumption (310 vs. 2,500 tokens) compared to ReAct baselines, where 94% of negotiations are resolved within 4 rounds. SNN provides a practical framework for large-scale agent coordination: proxies handle resource discovery and negotiation autonomously, but humans maintain final authority over high-stakes decisions.
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