INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum

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; Paulson, Eberechukwu

doi:10.34726/8579

Record link:

http://hdl.handle.net/20.500.12708/211167
https://doi.org/10.34726/8579

Title:

INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum

Citation:

Dautov, R., Song, H., Roman, D., Husom, E. J., Sen, S., Balionyte-Merle, V., Firmani, D., Leotta, F., Mathew, J. G., Rossi, J., Balzotti, L., Morichetta, A., Dustdar, S., Metsch, T., Frascolla, V., Khalid, A., Landi, G., Brenes, J., Toma, I., & Paulson, E. (2024). INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum. In A. Rula, E. Sallinger, O. Savkovic, I. Ciuciu, I. Toma, J. Xavier Parreira, R. Prodan, H. Song, & A. Soylu (Eds.), Companion Proceedings of the 8th International Joint Conference on Rules and Reasoning (RuleML+RR-Companion 2024). https://doi.org/10.34726/8579

reposiTUm DOI:

10.34726/8579

CatalogPlus:

AC17429893

Publication Type:

Inproceedings - Full-Paper Contribution

Language:

English

Organisational Unit:

E194-02 - Forschungsbereich Distributed Systems

Published in:

Companion Proceedings of the 8th International Joint Conference on Rules and Reasoning (RuleML+RR-Companion 2024)

Volume:

3816

Date (published):

Oct-2024

Event name:

8th International Joint Conference on Rules and Reasoning (RuleML+RR 2024)

Event date:

16-Sep-2024 - 18-Sep-2024

Event place:

Bucharest, Romania

Number of Pages:

Peer reviewed:

Yes

Keywords:

Cognitive Computing; Intent-Based Data Operation; Machine Learning; Federated Systems; AI Coordination

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.

Project title:

Intent-based data operation in the computing continuum: 101135576 (European Commission)

Research Areas:

Information Systems Engineering: 100%

Science Branch:

1020 - Informatik: 100%

License:

CC BY 4.0