Objectives
Computational Intelligence (CI), including fuzzy logic, neural network, and evolutionary computation, is a sub-branch of AI. It is an important core technology of AI and plays an important role in developing successful intelligent systems, including games, multilayer perceptron, and cognitive developmental systems. The main contents in this summer school are the basics of fuzzy systems, neural networks, and evolutionary computation. Fuzzy logic is suitable for computing the degree of human perception such as heat or cold. Different people have different feelings of heat and cold even at the same temperature. The neural network is one of the important models for machine learning which can compute the mathematical feature functions. Evolutionary computation is based on the observation of the animals’ behavior patterns and it is one of the important machine learning models, too.
Learning has become a very popular approach for cybernetics systems. This topic has always been considered a research in the Computational Intelligence (CI) area. Human-in-the-loop (Hit-Loop) is a branch of artificial intelligence that uses human intelligence and machine learning to jointly create the model of machine learning. In a Hit-Loop, a human operator is a crucial component of an automated control process, handling challenging tasks of supervision, exception control, optimization, and maintenance. Hit-Loop AI puts human learning and machine learning in a good circle. Humans can train, adjust, and test specific algorithms or training processes in this circle to allow them to independently participate in human behavior simulations to label training data for machine learning. Human-centered AI learns from human input and collaboration, as well as its goal is to bridge the gap between machine and human beings by developing machine intelligence to understand human language, emotion, and behavior.
In 2018 and 2019, we hold a summer school on “Computational Intelligence for Human and Robot Colearning” in Kaohsiung, Taiwan. In 2020, owing to the COVID-19 pandemic, 2020 IEEE CIS Summer School on Computational Intelligence for Human and Robot Co-learning was held in the form of the Virtual Seminars @ Zoom in Japan and Taiwan. Additionally, 2020 CI High School Education Program on Computational Intelligence for AI-FML Robotic Learning was held in Taiwan in a physical seminar together with 2020 IEEE CIS Summer School on Computational Intelligence for Human and Robot Co-learning to promote the Computational Intelligence concept and knowledge to Junior High School students and Elementary School students in Japan and Taiwan. Hence, in 2021, we propose a Summer School on Computational Intelligence for High-School Student Learning proposal in Japan and in Taiwan to gather more students from high-school students to teach the students to learn the Computational Intelligence knowledge and CI tools for real-world applications.
