INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum
dc.contributor.author | Dautov, Rustem | |
dc.contributor.author | Song, Hui | |
dc.contributor.author | Roman, Dumitru | |
dc.contributor.author | Husom, Erik Johannes | |
dc.contributor.author | Sen, Sagar | |
dc.contributor.author | Balionyte-Merle, Vilija | |
dc.contributor.author | Firmani, Donatella | |
dc.contributor.author | Leotta, Francesco | |
dc.contributor.author | Mathew, Jerin George | |
dc.contributor.author | Rossi, Jacopo | |
dc.contributor.author | Balzotti, Lorenzo | |
dc.contributor.author | Morichetta, Andrea | |
dc.contributor.author | Dustdar, Schahram | |
dc.contributor.author | Metsch, Thijs | |
dc.contributor.author | Frascolla, Valerio | |
dc.contributor.author | Khalid, Ahmed | |
dc.contributor.author | Landi, Giada | |
dc.contributor.author | Brenes, Juan | |
dc.contributor.author | Toma, Ioan | |
dc.contributor.author | Szabó, Róbert | |
dc.contributor.author | Schaefer, Christiane | |
dc.contributor.author | Kim, Seonghyun | |
dc.contributor.author | Udroiu, Cosmin | |
dc.contributor.author | Ulisses, Alexandre | |
dc.contributor.author | Pietsch, Verena | |
dc.contributor.author | Akselsen, Sigmund | |
dc.contributor.author | Munch-Ellingsen, Arne | |
dc.contributor.author | Pavlova, Irena | |
dc.contributor.author | Petrova-Antonova, Dessisslava | |
dc.contributor.author | Kim, Hong-Gee | |
dc.contributor.author | Kim, Changsoo | |
dc.contributor.author | Allen, Bob | |
dc.contributor.author | Kim, Sunwoong | |
dc.contributor.author | Paulson, Eberechukwu | |
dc.date.accessioned | 2025-01-22T12:19:08Z | |
dc.date.available | 2025-01-22T12:19:08Z | |
dc.date.issued | 2024 | |
dc.description.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. | en_US |
dc.description | Source at <a href=https://intendproject.eu/>https://intendproject.eu/</a>. | en_US |
dc.identifier.citation | Dautov R, Song H, Roman D, Husom EJ, Sen S, Balionyte-Merle, Firmani, Leotta F, Mathew, Rossi J, Balzotti, Morichetta, Dustdar S, Metsch, Frascolla V, Khalid A, Landi, Brenes, Toma I, Szabó R, Schaefer C, Kim, Udroiu, Ulisses A, Pietsch, Akselsen S, Munch-Ellingsen A, Pavlova, Petrova-Antonova, Kim, Kim, Allen B, Kim S, Paulson: INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum . In: Rula A, Sallinger, Savkovic O, Ciuciu, Toma I, Parreira, Prodan R, Song H, Soylu A. Companion Proceedings of the 8th International Joint Conference on Rules and Reasoning co-located with 20th Reasoning Web Summer School (RW 2024) and 16th DecisionCAMP 2024 as part of Declarative AI 2024, 2024. CEUR Workshop Proceedings | en_US |
dc.identifier.cristinID | FRIDAID 2343484 | |
dc.identifier.isbn | 978-3-031-72406-0 | |
dc.identifier.issn | 1613-0073 | |
dc.identifier.uri | https://hdl.handle.net/10037/36271 | |
dc.language.iso | eng | en_US |
dc.publisher | INTEND | en_US |
dc.relation.projectID | EU – Horisont Europa (EC/HEU): 101135576 | en_US |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/HORIZON2.4/101135576/Norway/Intent-based data operation in the computing continuum/INTEND/ | en_US |
dc.relation.uri | https://ceur-ws.org/Vol-3816/paper54.pdf | |
dc.rights.accessRights | openAccess | en_US |
dc.rights.holder | Copyright 2024 The Author(s) | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | en_US |
dc.rights | Attribution 4.0 International (CC BY 4.0) | en_US |
dc.title | INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum | en_US |
dc.type | Chapter | en_US |
dc.type | Bokkapittel | en_US |