INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum
This paper outlines a research roadmap of the INTEND project towards the development of a cognitive computing continuum that leverages human-like intelligence for intent-based data operations. The primary objective of this initiative is to create a system that can adapt dynamically to varying contexts by understanding and acting upon the intents of stakeholders in a decentralised and strategic manner. The project focuses on three main research pillars: resource management through intelligent agents, decentralised decision-making inspired by human cognitive processes, and enhancing human-AI interaction using Generative AI technologies.
Institutions
- Ericsson (Sweden) (SE)
- Seoul National University (KR)
- TU Wien (AT)
- SINTEF (NO)
- Telenor (Norway) (NO)
- XLIM (FR)
- Intel (Germany) (DE)
- Ericsson (Hungary) (HU)
- Nextworks (Italy) (IT)
- Institute for the Future (US)
- Future Earth (CA)
- Groupe d'Analyse et de Théorie Economique Lyon St Etienne (FR)
- DELL (United States) (US)
- Acclima (United States) (US)
- SINTEF Digital
- Hanyang University (KR)
- Sapienza University of Rome (IT)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-10-31
- DOI
- https://doi.org/10.5281/zenodo.14200103
- Citations
- 1
- Primary Topic
- Cognitive Computing and Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.35