Hierarchical Task Network Planning

Hierarchical Task Network (HTN) planning is a powerful AI technique for solving complex problems by breaking them down into hierarchical subtasks. Current research focuses on improving the efficiency and scalability of HTN planners, particularly addressing computational complexity through refined algorithms and model architectures, and incorporating features like temporal reasoning, risk assessment, and dynamic task modification. This work is significant for advancing both theoretical understanding of planning algorithms and practical applications in diverse fields such as robotics, multi-agent systems, and economic modeling, where efficient and adaptable planning is crucial.