Frame Systems
Frame systems are a knowledge representation technique in artificial intelligence and cognitive science that organizes information into structured units called frames, which contain slots for attributes and values. They are used to model real-world objects, events, or concepts by capturing default knowledge, inheritance hierarchies, and relationships. This approach facilitates reasoning, pattern matching, and understanding in AI systems, such as natural language processing and expert systems.
Developers should learn frame systems when working on AI projects that require structured knowledge representation, such as building semantic networks, ontologies, or rule-based systems. They are particularly useful in domains like natural language understanding, where contextual information and defaults are critical, and in expert systems for encoding domain-specific knowledge with inheritance and constraints.