Forward Chaining

Forward chaining is a method used in logical reasoning and expert systems to derive conclusions from a set of known facts and rules. It starts with available data and applies rules step-by-step to infer new information. Think of it as starting with what you know and working forward to figure out new details or solutions. For example, if you know "Rain makes the grass wet" and "The grass is wet," forward chaining might help you conclude "It rained." This approach is commonly used in artificial intelligence to automate decision-making and problem-solving processes.