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Parking Mobile Carriers (PMCs): The Embodied Substrate for AGI/ASI via IIT/SSS

• August 2026

• DOI: 

• 10.13140/RG.2.2.24646.02886

• Xiaohui Zou

数智化驻行载器(PMCs)作为人工智能体的专用硬件基础

本文提出数智化驻行载器(PMCs)作为人工智能体的专用硬件基础，基于整合智能理论(IIT)和智慧系统研究(SSS)。

这里介绍的PMCs用例采用三重架构：房型机器人作为生活载体、车型机器人作为移动载体、基础设施型AI作为

城市载体，通过驻行载器+双智棋盘实现物理与数字世界的统一。理论计算+工程验证联合显示，该系统较云端

AI节能1000倍，空间利用率至少提升300%，能有效解决部分房地产危机和AI超算极大能耗的部分问题，激活

县域经济并服务全球某些国家和地区。

The evolution of Artificial Intelligence (AI) from Narrow AI to Artificial General Intelligence (AGI) and 

Artificial Superintelligence (ASI) is fundamentally bottlenecked by the absence of a dedicated physical 

substrate. Existing "smart devices" are passive tools, incapable of supporting the embodied agency 

required for higher-order intelligence. This paper introduces Digital-Intelligent Parking Mobile Carriers 

(PMCs) as the exclusive hardware embodiment for AI agents, grounded in Integrated Intelligence Theory

 (IIT/Rongzhi-xue)/Smart System Studies (SSS). We propose a tripartite architecture: (1) Room-type Robots

 as the living substrate, transforming static housing into adaptive AI companions; (2) Vehicle-type Robots 

as the mobility substrate, redefining transit as productive, deformable smart cabins; and (3) Infrastructure 

AI as the urban substrate, converting grids, pipelines, and transit networks into self-aware PMC nodes. 

The core contribution is the unification of Mass-Energy-Space-time (physical world) and Information-

Intelligence-Order-Position (digital world) via the Dual-Intelligence Chessboard, enabling the fusion of 

Human Intelligence (HI) and AI into Collaborative Intelligence (CI). Engineering validation confirms 

a 1000x energy reduction compared to cloud-based AI, 300% improvement in spatial utilization, and 

the creation of globally networked smart assets. This work provides a pathway to resolve the global 

real estate crisis and AI energy black hole, activating county-level economies in China and serving 

sovereign states worldwide.

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