INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum
Year: 2024
Type: article
Abstract: 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.
Authors: Dautov, Rustem, Song, Hui, Roman, Dumitru, Husom, Erik Johannes, Sen, Sagar, Balionyte-Merle, Vilija, Firmani, Donatella, Leotta, Francesco, Mathew, Jerin George, Rossi, Jacopo, Balzotti, Lorenzo, Morichetta, Andrea, Dustdar, Schahram, Metsch, Thijs, Frascolla, Valerio, Khalid, Ahmed, Landi, Giada, Brenes, Juan, Toma, Ioan, Szabó, Róbert, Schaefer, Christian, Kim, Seonghyun, Udroiu, Cosmin, Ulisses, Alexandre, Pietsch, Verena, Akselsen, Sigmund, Munch-Ellingsen, Arne, Pavlova, Irena, Petrova-Antonova, Dessisslava, Kim, Hong-Gee, Kim, Changsoo, Allen, Bob, Kim, Sunwoo, Paulson, Eberechukwu
Institutions: SINTEF Digital, Sapienza University of Rome, TU Wien, Intel (Germany), DELL (United States), Nextworks (Italy), Ericsson (Hungary), Ericsson (Sweden), MOG Technologies (Portugal), Telenor (Norway), Groupe d'Analyse et de Théorie Economique Lyon St Etienne, Big Data for Smart Society (GATE) Institute, Seoul National University, Hanyang University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Funder: European Commission
OpenAlex ID: W6911820606