基于决策理论的面向角色驱动的多智能体系统在O-RAN中的安全性评估
Decision-Theoretic Safety Assessment of Persona-Driven Multi-Agent Systems in O-RAN
AI总结：
本文提出一种基于角色驱动的多智能体框架，通过角色行为规范影响五个专业智能体，结合决策理论构建三维评估框架，验证486种角色配置在O-RAN优化挑战中的性能与协调效果。
摘要：
开放式无线电接入网络中的自主网络管理需要在冲突目标间进行智能决策，但现有基于大语言模型的多智能体系统采用同质策略且缺乏系统性预部署验证。本文引入一种基于角色驱动的多智能体框架，其中可配置的行为角色通过结构化规范编码优化优先级、风险容忍度和决策风格，影响五个专业化智能体（规划、协调、资源分配、代码生成、分析）。为实现严格验证，我们开发了基于决策理论的三维评估框架，测量规范符合性（最优性遵守）、指导性一致性（行为指南一致性）和行为动态（涌现系统属性）。我们评估了两个O-RAN优化挑战（能量高效资源分配和网络负载均衡）中的486种角色配置。结果表明，角色智能体一致性显著影响个体性能（14.3%）和涌现的多智能体协调，检索架构（GraphRAG vs. RAG）根本限制了定制效果。单个智能体角色修改通过级联效应影响整个系统，某些组合表现出可检测的基本不兼容性。本框架为在关键通信基础设施中部署基于大语言模型的自动化提供了系统性验证机制。
英文摘要：
Autonomous network management in Open Radio Access Networks requires intelligent decision making across conflicting objectives, yet existing LLM based multi agent systems employ homogeneous strategies and lack systematic predeployment validation. We introduce a persona driven multi agent framework where configurable behavioral personas structured specifications encoding optimization priorities, risk tolerance, and decision making style influence five specialized agents (planning, coordination, resource allocation, code generation, analysis). To enable rigorous validation, we develop a three dimensional evaluation framework grounded in decision theory, measuring normative compliance (optimality adherence), prescriptive alignment (behavioral guideline consistency), and behavioral dynamics (emergent system properties). We evaluate 486 persona configurations across two ORAN optimization challenges (energy efficient resource allocation and network load balancing). Results demonstrate that persona agent alignment significantly impacts both individual performance (14.3 percent) and emergent multi agent coordination, with retrieval architecture (GraphRAG vs. RAG) fundamentally constraining customization effectiveness. Single agent persona modifications propagate system wide through cascading effects, with certain combinations exhibiting detectable fundamental incompatibilities. Our framework provides systematic validation mechanisms for deploying LLM based automation in mission critical telecommunications infrastructure.
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