Hybrid-Augmented Intelligent Systems: New Trends and Applications
The recent advancements in Artificial Intelligence (AI) have profoundly transformed various aspects of our lives, from societal interactions to business operations and educational methodologies. As traditional AI systems grapple with challenges like transparency and the lack of human-centric adaptab...
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| Format: | Article |
| Language: | English |
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Graz University of Technology
2025-03-01
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| Series: | Journal of Universal Computer Science |
| Online Access: | https://lib.jucs.org/article/150294/download/pdf/ |
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| _version_ | 1849772403268255744 |
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| author | Rosa María Rodríguez Domínguez Luis Martínez López Kiril Tenekedjiev |
| author_facet | Rosa María Rodríguez Domínguez Luis Martínez López Kiril Tenekedjiev |
| author_sort | Rosa María Rodríguez Domínguez |
| collection | DOAJ |
| description | The recent advancements in Artificial Intelligence (AI) have profoundly transformed various aspects of our lives, from societal interactions to business operations and educational methodologies. As traditional AI systems grapple with challenges like transparency and the lack of human-centric adaptability, the concept of Hybrid-Augmented Intelligence emerges as a transformative approach. By integrating human cognitive capabilities with advanced computational systems, Hybrid-Augmented Intelligence aims to overcome such limitations, fostering collaboration and decision-making processes that leverage both human insight and machine precision. This special issue focuses on Hybrid-Augmented Intelligence methodologies and applications, exploring their potential to address modern challenges in Industry 4.0, healthcare, cybersecurity, robotics, and beyond.The goal of this special issue is to consolidate pioneering research and practical implementations in the realm of Hybrid-Augmented Intelligent Systems. With this collection of articles, we aim to provide a platform for advancing the understanding of Hybrid-Augmented Intelligence while inspiring future research. This issue offers theoretical insights, methodological advancements, and application-driven case studies, demonstrating how Hybrid-Augmented Intelligence can drive innovation and efficiency across diverse domains.This special issue encompasses five cutting-edge research articles in different related topics of the scope. Each paper is addressing a unique aspect of Hybrid-Augmented Intelligence. These contributions reflect the diversity and richness of current studies, focusing on topics ranging from decision-making frameworks and optimization techniques to applied case studies in real-world contexts. The articles included in this issue are described as follows.  |
| format | Article |
| id | doaj-art-fe3deda6e18a4fd48d35c24146f2d9ca |
| institution | DOAJ |
| issn | 0948-6968 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Graz University of Technology |
| record_format | Article |
| series | Journal of Universal Computer Science |
| spelling | doaj-art-fe3deda6e18a4fd48d35c24146f2d9ca2025-08-20T03:02:20ZengGraz University of TechnologyJournal of Universal Computer Science0948-69682025-03-0131320720910.3897/jucs.150294150294Hybrid-Augmented Intelligent Systems: New Trends and ApplicationsRosa María Rodríguez Domínguez0Luis Martínez López1Kiril Tenekedjiev2University of JaénUniversity of JaénUniversity of TasmaniaThe recent advancements in Artificial Intelligence (AI) have profoundly transformed various aspects of our lives, from societal interactions to business operations and educational methodologies. As traditional AI systems grapple with challenges like transparency and the lack of human-centric adaptability, the concept of Hybrid-Augmented Intelligence emerges as a transformative approach. By integrating human cognitive capabilities with advanced computational systems, Hybrid-Augmented Intelligence aims to overcome such limitations, fostering collaboration and decision-making processes that leverage both human insight and machine precision. This special issue focuses on Hybrid-Augmented Intelligence methodologies and applications, exploring their potential to address modern challenges in Industry 4.0, healthcare, cybersecurity, robotics, and beyond.The goal of this special issue is to consolidate pioneering research and practical implementations in the realm of Hybrid-Augmented Intelligent Systems. With this collection of articles, we aim to provide a platform for advancing the understanding of Hybrid-Augmented Intelligence while inspiring future research. This issue offers theoretical insights, methodological advancements, and application-driven case studies, demonstrating how Hybrid-Augmented Intelligence can drive innovation and efficiency across diverse domains.This special issue encompasses five cutting-edge research articles in different related topics of the scope. Each paper is addressing a unique aspect of Hybrid-Augmented Intelligence. These contributions reflect the diversity and richness of current studies, focusing on topics ranging from decision-making frameworks and optimization techniques to applied case studies in real-world contexts. The articles included in this issue are described as follows. https://lib.jucs.org/article/150294/download/pdf/ |
| spellingShingle | Rosa María Rodríguez Domínguez Luis Martínez López Kiril Tenekedjiev Hybrid-Augmented Intelligent Systems: New Trends and Applications Journal of Universal Computer Science |
| title | Hybrid-Augmented Intelligent Systems: New Trends and Applications |
| title_full | Hybrid-Augmented Intelligent Systems: New Trends and Applications |
| title_fullStr | Hybrid-Augmented Intelligent Systems: New Trends and Applications |
| title_full_unstemmed | Hybrid-Augmented Intelligent Systems: New Trends and Applications |
| title_short | Hybrid-Augmented Intelligent Systems: New Trends and Applications |
| title_sort | hybrid augmented intelligent systems new trends and applications |
| url | https://lib.jucs.org/article/150294/download/pdf/ |
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