SOURCE-LINKED INTELLIGENCE

AUTONOMOUS MULTI-AGENT AGENTIC AI SYSTEM FOR 6G NETWORKS

CORDIS · observation · Publication date unknown

yment and management, by combining collective agentic AI’s knowledge handling as an integral element through fast, efficient, and autonomous access to and application of knowledge with the support of Large Language Models (LLMs), shared memories and tools. Agentic6G will enable efficient end-to-end Agentic Operations (AgenticOps) to support the lifecycle management of MAS to enable this vision. Furthermore, to meet the challenging and demanding operational environments in real world, Agentic6G will provide self-organising capabilities focusing on spontaneous agent generation, and self-protection, self-healing and auto-scaling of multi-agent systems through hybrid orchestration featured with agent-embedded orchestration for decentralised scenarios and advanced self-organising capabilities as the agents’ tools. Thereby, Agentic6G will help remove the barriers for adopting and deploying such multi-agent agentic AI systems in B5G and 6G networks, by addressing some of the well-known and critical challenges such as security risks, and lack of availability/robustness/resilience and scalabi

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recordType

award

status

SIGNED

region

EU

value

2999999.63

unit

EUR