國立成功大學 統計學系

In this talk, we will explore how AI can decode behavioral patterns in dynamic systems. The technical foundation originates from modeling human-looking behavior through image representations to capture features of information selection. This framework for handling high-dimensional spatial and temporal data is further extended to sports science and energy management, specifically for predicting adversarial intent in badminton and understanding future trends in electricity at a country scale. Through these applications, we will illustrate how to identify shared behavioral patterns across different domains to achieve precise prediction and optimization in uncertain environments.