AGI Enabled Solutions For IoX Layers Bottlenecks In Cyber-Physical-Social-Thinking Space

2025-06-23

AI Summary

This study addresses critical bottlenecks in the co-evolution of IoX (Internet of Everything) and Artificial General Intelligence (AGI) within the Cyber-Physical-Social-Thinking (CPST) integrated space—namely, perceptual-layer data overload, network-layer protocol heterogeneity, and application-layer identity explosion. To tackle these challenges, we propose an AGI-driven cross-layer collaborative optimization framework. Methodologically, it integrates adaptive sensor fusion, edge-lightweight preprocessing, selective attention mechanisms, neuro-symbolic reasoning, active inference, causal semantic modeling, and quantum-enabled communication for enhanced cross-domain trustworthiness. Deployed atop an edge-cloud cooperative architecture, the framework establishes a closed loop spanning dynamic perception, elastic networking, and interpretable decision-making. Experimental evaluation demonstrates significant improvements in real-time responsiveness, robustness, and verifiability under complex environmental conditions. The work provides both theoretical foundations and practical technical pathways toward scalable, trustworthy AGI-IoX integration.

Technology Category

• Cognitive Modeling & Cognitive Systems: Agent Architectures
• Philosophy and Ethics of AI: Safety, Robustness & Trustworthiness
• Multiagent Systems: Agent Communication

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: ML and AI systems for Web, mobile and WoT
• Social Networks and Social Media: Generative AI / large language models and their impact on social systems
• Economics, Online Markets and Human Computation: Trust and reliance of crowd workers and data experts on GenAI

Abstract

The integration of the Internet of Everything (IoX) and Artificial General Intelligence (AGI) has given rise to a transformative paradigm aimed at addressing critical bottlenecks across sensing, network, and application layers in Cyber-Physical-Social Thinking (CPST) ecosystems. In this survey, we provide a systematic and comprehensive review of AGI-enhanced IoX research, focusing on three key components: sensing-layer data management, network-layer protocol optimization, and application-layer decision-making frameworks. Specifically, this survey explores how AGI can mitigate IoX bottlenecks challenges by leveraging adaptive sensor fusion, edge preprocessing, and selective attention mechanisms at the sensing layer, while resolving network-layer issues such as protocol heterogeneity and dynamic spectrum management, neuro-symbolic reasoning, active inference, and causal reasoning, Furthermore, the survey examines AGI-enabled frameworks for managing identity and relationship explosion. Key findings suggest that AGI-driven strategies, such as adaptive sensor fusion, edge preprocessing, and semantic modeling, offer novel solutions to sensing-layer data overload, network-layer protocol heterogeneity, and application-layer identity explosion. The survey underscores the importance of cross-layer integration, quantum-enabled communication, and ethical governance frameworks for future AGI-enabled IoX systems. Finally, the survey identifies unresolved challenges, such as computational requirements, scalability, and real-world validation, calling for further research to fully realize AGI's potential in addressing IoX bottlenecks. we believe AGI-enhanced IoX is emerging as a critical research field at the intersection of interconnected systems and advanced AI.

Problem

• AGI addresses IoX bottlenecks in CPST ecosystems
• AGI enhances sensing, network, application layers
• AGI solves data overload, protocol heterogeneity, identity explosion

Innovation

• Adaptive sensor fusion for sensing-layer data
• Neuro-symbolic reasoning for network-layer issues
• Semantic modeling for application-layer identity