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Agentic AI for Cyber-Physical Social Networks: perspectives and insights from the Quhuo case

Author

Listed:
  • Wenrong Lu
  • Shenle Pan

    (CGS i3 - Centre de Gestion Scientifique i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique, Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres)

  • Duncan Mcfarlane
  • George Huang

Abstract

This paper introduces a novel concept of Cyber-Physical Agentic Social Network (CPASN), integrating cyber-physical systems with Agentic AI-empowered social networks to model social activities and interactions in hybrid online-offline environments. Focusing on a real-world online social platform that organizes physical events, we formulate a multi-agent ecosys-tem comprising Event Creator agents (organizers), Event Participant agents (consumers), and an orchestrating platform. We propose an Agentic AI sys-tem as a new paradigm for the ecosystems to enhance user participation and overall social effectiveness. Furthermore, this study highlights grounded physical social data, such as attendance, participation behaviour, and tem-poral patterns, as key to capturing users' latent preferences beyond their online expressions, thereby mitigating the Information Cocoon effect prev-alent in digital spaces. The paper presents early conceptual results and key research hypotheses, setting the foundation for future mathematical model-ling and empirical validation using real-world platform data.

Suggested Citation

  • Wenrong Lu & Shenle Pan & Duncan Mcfarlane & George Huang, 2026. "Agentic AI for Cyber-Physical Social Networks: perspectives and insights from the Quhuo case," Post-Print hal-05658344, HAL.
    • Handle: RePEc:hal:journl:hal-05658344
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