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IEEE 20th International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC'21)
Cognitive Systems, Autonomous Systems, Cognitive Robots, and Cognitive Machine Learning
Cognitive Informatics (CI) is a transdisciplinary field that studies the internal information processing mechanisms of the brain, the underlying abstract intelligence (aI) theories and denotational mathematics, and their engineering applications in cognitive computing, computational intelligence, and cognitive systems. Cognitive Computing (CC) is a cutting-edge paradigm of intelligent computing methodologies and systems based on cognitive informatics, which implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain. CI and CC not only synergize theories of modern information science, computer science, communication theories, AI, cybernetics, computational intelligence, cognitive science, intelligence science, neuropsychology, brain science, systems science, software science, knowledge science, cognitive robots, cognitive linguistics, and life science, but also promote novel applications in cognitive computers, cognitive communications, computational intelligence, cognitive robots, cognitive systems, and the AI, IT, and software industries.
The IEEE ICCI*CC series is a flagship conference of its field sponsored by IEEE CS, CIS, and SMC. Following the past 19 successful conferences on Cognitive Informatics and Cognitive Computing (ICCI’02 through ICCI*CC’20), the 20th IEEE Int’l Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC’21) focuses on themes of Cognitive Systems, Autonomous Systems, Cognitive Robots, and Cognitive Machine Learning. ICCICC’21 welcomes researchers, practitioners, and graduate students to join the international initiative on cognitive informatics and cognitive computing toward the investigation of cognitive mechanisms and processes of human information processing, and the development of the next generation of cognitive computers and cognitive systems.
Original papers are invited from multidisciplinary, interdisciplinary and transdisciplinary perspectives on subject areas including, but not limited to, the following: