Explicit Construction

Explicit construction focuses on designing and building specific, well-defined systems or algorithms, rather than relying on approximation or iterative methods. Current research explores this approach across diverse fields, including robotics (e.g., designing path planners with guaranteed correctness), dynamical systems (e.g., constructing recurrent neural networks for accurate approximation), and natural language processing (e.g., analyzing the grammatical structures processed by large language models). This emphasis on explicit design offers advantages in terms of understandability, verifiability, and potentially improved efficiency and robustness compared to implicit or learned approaches, impacting various scientific domains and engineering applications.