The frame problem is a term that refers to the difficulty of defining the boundary between relevant and irrelevant information in a system. In the context of artificial intelligence, it often arises when creating a system that can reason about change. Some synonyms for the frame problem include the boundary problem, the contextual problem, and the relevance problem. These terms all describe the issue of trying to isolate relevant information from the flood of irrelevant information that a system must process. Other related terms include the granularity problem and the qualification problem, which refer to the difficulty of accurately characterizing the level of detail and specificity needed to identify relevant information.