Abstract
Computational Intelligence is sometimes also referred to as soft computing, which is a specific field of study where the task is to make computers learn some real-life or complex problems from the experimental data or observations. In computational intelligence, there is a set of approaches or methodologies used to address real-life or complex problems. Generally, it is impossible to solve real-life problems using traditional computing methods because of complexity, uncertainty, or problems that don’t have a proper definition. Considering cognitive computing is an indispensable technology to develop these smart systems, this paper proposes human-centered computing assisted by cognitive computing and cloud computing. Computational Intelligence has significantly extended the possibility of computing, encompassing it from traditional computing on data to progressively diverse computing paradigms such as cognitive intelligence and human-computer fusion intelligence. Intelligence and computing have undergone paths of different evolution and development for a long time but have become increasingly intertwined in recent years. Intelligent computing is not only intelligence-oriented but also intelligence-driven. Such cross-fertilization has prompted the emergence and rapid advancement of intelligent computing.
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Yadav, R., Manshahia, M.S., Chaudhary, M.P. (2023). Digital Revolution Through Computational Intelligence: Innovative Applications and Trends. In: Vasant, P., et al. Intelligent Computing and Optimization. ICO 2023. Lecture Notes in Networks and Systems, vol 729. Springer, Cham. https://doi.org/10.1007/978-3-031-36246-0_7
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