The article discusses how planners deal with incomplete information in decision-making. They use probabilistic models to work with the limited information available, but these models are not perfect. The researchers introduce the concept of meta-level incomplete information, which is incomplete information about incomplete information. They show how planners can use this type of information to make better decisions. The study uses a specific probabilistic model and examples from working with a robot to explain these ideas.