多智能体系统中制度权力与操作能力的对齐研究
Aligning Institutional Power and Operational Ability
AI 导读
一项 arXiv cs.AI 研究针对 Agentic AI 系统的社会可持续性，提出以过程导向建模和制度权力为中心的形式化框架，用于分析规范与履行能力的对齐，识别无法满足的期望或权限提升等不一致问题。研究讨论了修复规范相关过程的策略，并阐明操作过程与制度状态之间的对称关系如何影响规范地位的生命周期。
正文 · 原文
Abstract:To be socially sustainable, Agentic AI systems require normative designs that align responsibilities with the ability to fulfil them. Identifying incongruences such as unsatisfiable expectations or privilege escalation is crucial in avoiding normative pitfalls. In this study, we discuss design dimensions suitable for describing multi-agent systems in light of this norm-ability alignment requirement. We propose a formal framework centred on process-oriented modelling and institutional power for the analysis of a given normatively relevant process, discuss strategies for repairing it, and elaborate on how the symmetrical relation between operational process and institutional state affects the lifecycle of normative positions.
| Subjects: | Artificial Intelligence (cs.AI); Multiagent Systems (cs.MA) |
| Cite as: | arXiv:2610.37342 [cs.AI] |
| (or arXiv:2610.37342v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.37342 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Andrea Marino [view email]
[v1]
Tue, 27 Oct 2026 14:47:58 UTC (58 KB)
来源：arXiv cs.AI · arxiv.org