Final answer:
True, forward chaining starts with known facts and works toward a goal, while backward chaining starts with the goal and works backward to find supporting conditions.
Step-by-step explanation:
The statement that the difference between forward chaining and backward chaining is where you begin training is true to a certain extent, as it refers to the logical starting point in the process of reasoning or problem-solving within rule-based systems, which is an area of study in artificial intelligence.
Forward chaining is a method where the reasoning process starts from a set of known facts and applies inference rules to extract more data until the desired goal is reached. It moves from the initial state towards the goal.
In contrast, backward chaining begins with the desired outcome or goal and works backward by determining what conditions must be met to achieve that goal. It is a goal-driven approach that can be seen as starting at the end and working backwards to confirm if the initial conditions support the goal.