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AUTONOMOUS MULTI-AGENT AGENTIC AI SYSTEM FOR 6G NETWORKS

Objective

Operating over B5G/6G networks, the Agentic6G multi-agent Agentic-AI system (MAS) will be able to benefit from and further evolve the interplay of 6G network and compute across the Device-Edge-Cloud continuum and potentially from new 6G architectural advancements such as the AI-native paradigm, in addition to the 6G extreme communication capabilities beyond 5G. For service composition, Agentic6G will allow the MAS to autonomously compose, coordinate, and optimise B5G/6G and/or vertical business microservices across Edge-Cloud infrastructures, advancing the B5G cloud-native approach for autonomous service composition, deployment 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 scalability. The main outcomes will be a set of Agentic 6G agent as autonomy enablers and an integrated Agentic6G MAS, tested, validated and demonstrated with representative technical use cases and a complicated swarm intelligent robotics vertical application.

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Keywords

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Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-JU-RIA - HORIZON JU Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-JU-SNS-2025-01

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Coordinator

ORANGE ROMANIA SA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 444 712,50
Address
BULEVARDUL LASCAR CATARGIU 51-53 SECTOR 1
010665 Bucuresti
Romania

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Region
Macroregiunea Trei Bucureşti-Ilfov Bucureşti
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 494 125,00

Participants (8)

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