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Computational Intelligence refers to the development and use of algorithms, models, and techniques inspired by nature, such as neural networks, fuzzy systems, and evolutionary computation, to create intelligent systems capable of problem-solving, learning, adaptation, and decision-making. It is a subfield of Artificial Intelligence that emphasizes the integration of computational methods with biological and cognitive processes to achieve human-like intelligence in machines. In this context, Computational Intelligence plays a crucial role in the development of advanced automation systems by providing them with the ability to learn from data, make decisions based on probabilities and uncertainties, and adapt to changing environments. By enabling machines to emulate human-like intelligence, Computational Intelligence enhances the capabilities of automation systems, making them more efficient, flexible, and reliable in a wide range of applications such as robotics, control systems, image processing, natural language processing, and many others.