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Work Item Reference | ETSI Doc. Number |
STF | Technical Body in Charge |
Standard Not Ready For Download |
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| DGR/ENI-0063v411_SSRMAIC | GR ENI 063 | ENI | |||||
| Current Status (Click to View Full Schedule) |
Latest Version |
Cover Date | Standstill | Creation Date | |||
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4.0.4 Draft | View Standstill Information | 2026-02-24 | ||||
| Rapporteur | Technical Officer | Harmonised Standard | |||||
Onur Ayan
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Christine Mera
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No | |||||
| Title |
Experiential Networked Intelligence (ENI); Study on Self-Refinement Mechanisms for AI-Core |
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Scope and Field of Application |
The present document examines main self-refinement mechanisms that are applicable to next generation mobile communication systems and extends the AI-Core with a self-refinement framework. In such a setting, the document investigates the integration of various feedbacks in AI-Core to refine network agents and ultimately optimize network services, e.g., via dedicated critic agents, and defines necessary procedures and mechanisms comprising root cause analysis, credit assignment, reputation incentive, self-reflection, retrieval augmented generation, and model update. | ||||||
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Supporting Organizations |
Deutsche Telekom AG, ICS, Fraunhofer FOKUS, HUAWEI TECH. GmbH, Eindhoven University, Khalifa University, CNIT | ||||||
