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Business and Information Systems Engineering, 2019 Research has a long history of discussing what is superior in predicting certain outcomes: statistical methods or the human brain. This debate has repeatedly been sparked off by the remarkable technological advances in the field of artificial intelligence (AI), such as solving tasks like object and speech recognition, achieving significant improvements
Dominik Dellermann +2 more
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Hybrid Human-Artificial Intelligence [PDF]
Computer, 2020 The articles in this special section focus on developments in the area of hybrid human artificial intelligence. Humans want machines to be intelligent, with the machines serving them as much as possible. Yet they are concerned that these machines with full autonomy may one day outperform them and become too powerful to be controlled.
Liming Chen +2 more
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Artificial intelligence, human intelligence and hybrid intelligence based on mutual augmentation
Big Data and Society, 2022 There is little consensus on what artificial intelligence (AI) systems may or may not embrace. Although this may point to multiplicity of interpretations and backgrounds, a lack of conceptual clarity could thwart the development of common ground around the concept among researchers, practitioners and users of AI and pave the way for misinterpretation ...
Mohammad Hossein Jarrahi +1 more
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Architectural Intelligence, 2023 This open access book is a compilation of selected papers from DigitalFUTURES 2022—The 4th International Conference on Computational Design and Robotic Fabrication (CDRF 2022). The work focuses on novel techniques for computational design and robotic fabrication. The contents make valuable contributions to academic researchers, designers, and engineers
Hua Chai, Philip F. Yuan
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Co-evolutionary hybrid intelligence [PDF]
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA), 2021 4 ...
Kirill Krinkin +2 more
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Brain Science Advances, 2023 The rapid serial visual presentation (RSVP) paradigm has garnered considerable attention in brain–computer interface (BCI) systems. Studies have focused on using cross-subject electroencephalogram data to train cross-subject RSVP detection models.
Zehui Wang +4 more
doaj +1 more source
Hybrid Biomedical Intelligent Systems [PDF]
Advances in Fuzzy Systems, 2012 "Copyright © 2012 Maysam Abbod et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited."
Maysam F. Abbod +2 more
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The Journal of AMDThe evolution of artificial intelligence in recent decades has transformed the way we conceive the cognitive activity and the role of humans in complex decisionmaking processes. Can we therefore talk about a process of cooperative co-evolution? And what if, through recursive feedback, in which humans could shape AI and AI could increasingly shape human
Christoph Lutz +2 more
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Knowledge Engineering for Hybrid Intelligence
Proceedings of the 12th Knowledge Capture Conference 2023, 2023 Hybrid Intelligence (HI) is a rapidly growing field aiming at creating collaborative systems where humans and intelligent machines cooperate in mixed teams towards shared goals. A clear characterization of the tasks and knowledge exchanged by the agents in HI applications is still missing, hampering both standardization and reuse when designing new HI ...
Ilaria Tiddi +3 more
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A hybrid intelligent classifier for anomaly detection
Neurocomputing, 2021 [Abstract] The present research is focused on the use of intelligent techniques to perform anomaly detection. This task represents a special concern in complex systems that operate in different regimes. Then, this work proposes a hybrid intelligent classifier based on one-class techniques, capable of detecting anomalies of the different operating ...
Esteban Jove +5 more
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