Understanding Semantic Networks in the Field of AI
Understanding Semantic Networks in the Field of AI explores how interconnected nodes and relationships are used to represent knowledge in a structured and meaningful way. Semantic networks in artificial intelligence help machines understand concepts, connections, and context, making them a powerful approach to knowledge representation in AI. By mapping real-world information into graph-like structures, semantic networks enable efficient reasoning, inference, and decision-making across various AI applications such as chatbots, expert systems, and natural language processing.