Forward chaining
Forward chaining, also known as forward reasoning, is a method within artificial intelligence and logic for drawing conclusions from data. This method is often used in expert systems to make decisions based on available information. It is a powerful tool that can be used to solve complex problems and make real-time decisions based on available data.
How does forward chaining work?
Forward chaining works by starting with the available data and using it to derive new facts and rules. It starts with a set of initial facts and then applies the available rules to generate new facts. These new facts can then be used to derive new rules and so on until the goal is reached or no more new facts can be derived.
