arXiv cs.MA· Sophie Hall, Kai Zhang, Ilia Shilov, Heinrich H. Nax, Saverio Bolognani·· 11 小时前AI 评分18
福利主义控制设计：多智能体控制如何满足社会授权？
Welfarist Control Design - How to fulfill the societal mandate in multi-agent control?
AI 导读
论文提出“福利主义控制设计”，主张控制工程师应把个体智能体的偏好聚合为控制目标，再确保并认证这些规范的满足，而非依赖行业惯例做设计决策。研究考察了在线反馈优化、马尔可夫决策过程控制和模型预测控制三种范式，认为控制系统的反馈特性可实现共享资源的前所未有的合理分配。
正文 · 原文
Abstract:At the core of most socio-technical systems lies a scarce resource that is allocated among agents: highway lanes, public transit, road space, water rights, energy access, grid capacity, user attention, pollution rights, etc. With further automation of the underlying allocation processes, control engineers are increasingly tasked with making decisive assumptions regarding what society wants. In practice to date, design choices are largely driven by industry norms and conventions rather than a result of conscientiously responsible and ethical design. In this paper, we look at tools available to control engineers to design systems in a more principled manner in order to match the societal mandate. We consider three control design paradigms: online feedback optimization, control of Markov decision processes, and model predictive control. Beginning with aggregating individual agents' preferences into control design objectives, subsequently ensuring and certifying the fulfillment of those specifications, we argue that the feedback nature of control systems enables appropriate allocation of the shared resources in ways hitherto unparalleled.
| Subjects: | Systems and Control (eess.SY); Multiagent Systems (cs.MA); Optimization and Control (math.OC) |
| Cite as: | arXiv:2606.23931 [eess.SY] |
| (or arXiv:2606.23931v2 [eess.SY] for this version) | |
| https://doi.org/10.48550/arXiv.2606.23931 arXiv-issued DOI via DataCite |
Submission history
From: Saverio Bolognani [view email]
[v1]
Mon, 22 Jun 2026 20:50:45 UTC (1,109 KB)
[v2]
Wed, 4 Nov 2026 10:12:27 UTC (1,031 KB)
来源：arXiv cs.MA · arxiv.org