Literature Database Entry

maier2026from-agi-native

Martin Maier, Nika Hosseini and Osman Tugay Basaran, "From AGI-Native 6G Networks to Active Inference: Are Psychoactives the New Frontier of AGI?," IEEE Intelligent Systems, June 2026. (to appear)

Abstract

Future artificial general intelligence (AGI)-native 6G networks will widen research from a narrow computer science perspective to a broader neuroscience as well as robotics perspective, given that key cognitive abilities of AGI such as lifelong learning (LL) via environmental coupling have been studied in both fields for decades. After highlighting key lessons from neuroscience and robotics with regard to more advanced brain models and LL capabilities, this paper focuses on active inference, an ideal methodology for advancing AGI, with its recurrent dark-room problem and how to resolve it by applying biomimetic psychoactives in the future 6G World Brain. We show that active inference points in the exactly opposite direction of today’s envisioned AGI-native 6G trajectory. The journey beyond 6G might not be outward via AI embodiment, but inward into what neuroscientists coined the brain’s dark energy, thereby resolving the dark-room problem and helping us penetrate ever deeper into cognitive space.

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Martin Maier
Nika Hosseini
Osman Tugay Basaran

BibTeX reference

@article{maier2026from-agi-native,
    author = {Maier, Martin and Hosseini, Nika and Basaran, Osman Tugay},
    note = {to appear},
    title = {{From AGI-Native 6G Networks to Active Inference: Are Psychoactives the New Frontier of AGI?}},
    journal = {IEEE Intelligent Systems},
    issn = {1941-1294},
    publisher = {IEEE},
    month = {6},
    year = {2026},
   }
   
   

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Last modified: 2026-06-30