Backward chaining
Backward chaining is a type of reasoning technique used in artificial intelligence. It is a way of reasoning from goal to cause and is often used in automated decision-making systems. Backward chaining is a process of setting a goal and then reasoning backward to determine what steps are needed to achieve that goal. This is often done through a series of "if-then" statements, where successive steps are determined based on the conditions required to complete the previous step.
An example of Backward chaining
A simple example of backward chaining would be to reason how to make a cup of tea. The goal is to have a cup of tea, so the first step would be to boil water. To boil water, you need a kettle or a pan. To use a kettle or pan, you need to know how to fill and heat them. This process would continue until the goal is reached and you have a cup of tea.
Backward chaining is often used in expert systems and decision-making systems where user input is analyzed and the most appropriate solution is sought based on the known data.
