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

arXiv: https://arxiv.org/abs/2506.22487 · HTML: https://mlsanity.com/paper/2506.22487/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 23 of its 101 references that are in the map.
- First posted on arXiv 24 Jun 2025.

## Builds on (most cited first, 23 of 23)

- [Interactive AI with Retrieval-Augmented Generation for Next Generation Networking](https://mlsanity.com/paper/2401.11391/) (2024)
- [Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey Beyond 6G](https://mlsanity.com/paper/2405.02336/) (2024)
- [Designing Ecosystems of Intelligence from First Principles](https://mlsanity.com/paper/2212.01354/) (2022)
- [Causal Reasoning: Charting a Revolutionary Course for Next-Generation AI-Native Wireless Networks](https://mlsanity.com/paper/2309.13223/) (2023)
- [GenAINet: Enabling Wireless Collective Intelligence via Knowledge Transfer and Reasoning](https://mlsanity.com/paper/2402.16631/) (2024)
- [AI-native Memory: A Pathway from LLMs Towards AGI](https://mlsanity.com/paper/2406.18312/) (2024)
- [When IoT Meet LLMs: Applications and Challenges](https://mlsanity.com/paper/2411.17722/) (2024)
- [Joint Sensing, Communication, and AI: A Trifecta for Resilient THz User Experiences](https://mlsanity.com/paper/2305.00135/) (2023)
- [IoT-Enabled Social Relationships Meet Artificial Social Intelligence](https://mlsanity.com/paper/2103.01776/) (2021)
- [Neuro-symbolic Explainable Artificial Intelligence Twin for Zero-touch IoE in Wireless Network](https://mlsanity.com/paper/2210.06649/) (2022)
- [AGI: Artificial General Intelligence for Education](https://mlsanity.com/paper/2304.12479/) (2023)
- [Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey](https://mlsanity.com/paper/2404.16356/) (2024)
- [Towards smart and adaptive agents for active sensing on edge devices](https://mlsanity.com/paper/2501.06262/) (2025)
- [The Internet of Senses: Building on Semantic Communications and Edge Intelligence](https://mlsanity.com/paper/2212.10748/) (2022)
- [Autonomous Crowdsensing: Operating and Organizing Crowdsensing for Sensing Automation](https://mlsanity.com/paper/2401.03229/) (2024)
- [CityGPT: Towards Urban IoT Learning, Analysis and Interaction with Multi-Agent System](https://mlsanity.com/paper/2405.14691/) (2024)
- [Learning How to Communicate in the Internet of Things: Finite Resources and Heterogeneity](https://mlsanity.com/paper/1610.01586/) (2016)
- [Reconfigurable Intelligent Surface for Internet of Robotic Things](https://mlsanity.com/paper/2412.09117/) (2024)
- [FAPL-DM-BC: A Secure and Scalable FL Framework with Adaptive Privacy and Dynamic Masking, Blockchain, and XAI for the IoVs](https://mlsanity.com/paper/2501.01063/) (2025)
- [Sensor Search Techniques for Sensing as a Service Architecture for The Internet of Things](https://mlsanity.com/paper/1309.3618/) (2013)
- [Toward Performance Optimization in IoT-based Next-Gen Wireless Sensor Networks](https://mlsanity.com/paper/1806.09980/) (2018)
- [A Tutorial of Cyber-Syndrome viewed from Cyber-Physical-Social-Thinking Space and Maslow's Hierarchy of Needs](https://mlsanity.com/paper/2111.02775/) (2021)
- [CAPD: A Context-Aware, Policy-Driven Framework for Secure and Resilient IoBT Operations](https://mlsanity.com/paper/2208.01703/) (2022)

## Abstract (arXiv)

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.