后向链接与前向链接之间的区别。

前向链接和后向链接是人工智能领域中的两个最重要的策略，它们位于AI的专家系统领域。
向前和向后链接是推理引擎在进行推论时所使用的策略。

推理机：
推理引擎是专家系统的组件，该组件将逻辑规则应用于知识库以推断新信息。它解释和评估知识库中的事实，以便提供答案。
知识库是有关系统域的事实的结构化集合。

正向链接：
在推断结果之前，推理引擎进行前向链接要经过所有事实，条件和推导，即，基于可用数据做出决策时，该过程称为前向链接，该过程从初始状态开始工作并达到目标(最终决定)。

Example:
A
A -> B
B
—————————–
He is running.
If he is running, he sweats.
He is sweating.

向后链接：
在这种情况下，推理系统知道最终决策或目标，该系统从目标开始并向后工作以确定必须断言哪些事实，以便可以实现目标，即，它从目标(最终决策)开始工作并达到初始目标状态。

Example:
B
A -> B
A
—————————–
He is sweating.
If he is running, he sweats.
He is running.

前向链接与后向链接之间的区别：

	Forward Chaining	Backward Chaining 1. When based on available data a decision is taken then the process is called as Forward chaining. Backward chaining starts from the goal and works backward to determine what facts must be asserted so that the goal can be achieved. 2. Forward chaining is known as data-driven technique because we reaches to the goal using the available data. Backward chaining is known as goal-driven technique because we start from the goal and reaches the initial state in order to extract the facts. 3. It is a bottom-up approach. It is a top-down approach. 4. It applies the Breadth-First Strategy. It applies the Depth-First Strategy. 5. Its goal is to get the conclusion. Its goal is to get the possible facts or the required data. 6. Slow as it has to use all the rules. Fast as it has to use only a few rules. 7. It operates in forward direction i.e it works from initial state to final decision. It operates in backward direction i.e it works from goal to reach initial state. 8. Forward chaining is used for the planning, monitoring, control, and interpretation application. It is used in automated inference engines, theorem proofs, proof assistants and other artificial intelligence applications.