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

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 contex...

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Hauptverfasser: 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, Christiane, 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, Sunwoong, Paulson, Eberechukwu
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Sprache:eng
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Zusammenfassung: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.