建筑环境中人工智能代理社会的宪法治理：一项研究议程
Constitutional governance for societies of AI agents in the built environment: a research agenda
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中文总结 AI 辅助
本文针对建筑环境中人工智能代理社会的治理提出研究议程，围绕深度不确定性下改造的机制设计、建筑运营中代理的物理信息验证、冲击下城市基础设施的抗脆弱协调三个问题，借鉴多代理系统研究成果，阐述基础、识别问题并概述相关要求。
中文摘要 AI 辅助
建筑环境即将充斥着自主人工代理。用于建议、控制和协调的人工智能系统在改造、运营和移动领域的部署速度，超过了对其集体行为的研究速度。主流框架将每个代理视为作用于被动建筑的工具，治理仅局限于单代理安全，这是不够的。建筑、街道或城市更准确地应建模为协商代理的社会：居住者、业主、运营商、监管者以及越来越多地代表他们行事的人工代理。它们的互动是策略性的，信息不对称，重要的结果是整体的属性。本文围绕三个问题提出了建筑环境宪法多代理治理的研究议程：深度不确定性下改造的机制设计，将公共补贴视为机制组成部分；建筑运营中代理的物理信息验证；以及冲击下城市基础设施的抗脆弱协调。借鉴三十年多代理系统研究，本文阐述了概念基础，详细研究了一个治理事件，识别了十二个开放问题，并概述了该议程在数据、计算、学科整合和治理方面的要求。
英文摘要
The built environment is on the cusp of populating itself with autonomous artificial agents. AI systems that advise, control and coordinate are being deployed across retrofit, operation and mobility faster than their collective behaviour is studied. The dominant framing treats each agent as a tool operating on a passive building, governance reduced to single-agent safety, which is inadequate. A building, a street, or a city is more accurately modelled as a society of negotiating agents: occupants, owners, operators, regulators, and the artificial agents increasingly acting on their behalf. Their interactions are strategic, their information asymmetric, and the outcomes that matter are properties of the whole. The paper proposes a research agenda for constitutional multi-agent governance of the built environment, organised around three problems: mechanism design for retrofit under deep uncertainty, treating public subsidy as a mechanism component; physics-informed verification of agents in building operations; and antifragile coordination for urban infrastructure under shocks. Drawing on three decades of multi-agent systems research, the paper sets out conceptual foundations, works one governance event through in detail, identifies twelve open problems, and outlines what the agenda requires in data, computation, disciplinary integration and governance.
