Artifical Intelligence with Uncertainty

This work delves into the intricate intersection of artificial intelligence and uncertainty, offering readers a comprehensive analysis of the challenges and methodologies related to uncertain data and decision-making. The authors, Deyi Li and Yi Du, meticulously explore how uncertainty influences AI systems and the strategies that can be employed to effectively manage it.

Through a systematic approach, they present a range of theories and applications that illuminate the complexities involved in building reliable AI models. The book serves as both an informative guide and a practical resource for researchers and practitioners aiming to enhance the robustness of AI technologies in the face of uncertainty.