👉 Frames computing is a novel approach to artificial intelligence and machine learning that leverages the concept of frames, which are structured representations of knowledge in a specific domain. These frames are essentially organized units that encapsulate a set of related concepts, properties, and relationships, allowing for efficient storage, retrieval, and manipulation of information. In frames computing, computations are performed by operating on these frames, often through operations like frame filling, query answering, and inference. This method enables AI systems to handle complex, real-world problems more effectively by mimicking human-like understanding and reasoning, as frames can capture the nuances and context of knowledge domains. By structuring data in this way, frames computing facilitates more intuitive and interpretable AI models, enhancing their ability to generalize and adapt to new situations.
