构建分层多智能体系统，提升企业级资源管理灵活性与响应能力
HEnRY: A Multi-Agent System Framework for Multi-Domain Contexts
- 采用分层架构实现智能体高效协同与资源调度
- 智能体具备快速响应环境变化的能力，增强系统鲁棒性
- 适用于金融等遵循国际治理规范的多领域企业场景
本项目名为HEnRY，旨在将多智能体系统（MAS）引入意万通银行。名称HEnRY概括了项目的四大核心原则：分层结构下的智能体层级组织，以实现高效的资源管理；资源与运营的优化，提升整体性能；智能体对环境刺激的快速反应能力；以及应对突发状况时的适应性与灵活性。研究涵盖两个方向：系统架构设计，以及智能体间的协作机制。该方案不局限于意万通银行的具体结构，而是基于现有多智能体系统研究成果，提出一种通用解决方案。由于意万通银行的组织模式符合国际企业治理最佳实践，此方法亦可推广至类似情境。
原文摘要 · Abstract (English)
This project, named HEnRY, aims to introduce a Multi-Agent System (MAS) into Intesa Sanpaolo. The name HEnRY summarizes the project's core principles: the Hierarchical organization of agents in a layered structure for efficient resource management; Efficient optimization of resources and operations to enhance overall performance; Reactive ability of agents to quickly respond to environmental stimuli; and Yielding adaptability and flexibility of agents to handle unexpected situations. The discussion covers two distinct research paths: the first focuses on the system architecture, and the second on the collaboration between agents. This work is not limited to the specific structure of the Intesa Sanpaolo context; instead, it leverages existing research in MAS to introduce a new solution. Since Intesa Sanpaolo is organized according to a model that aligns with international corporate governance best practices, this approach could also be relevant to similar scenarios.
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