2024年6月17日 · Two primary methods of inference in rule-based systems are forward chaining and backward chaining. This article explores the mechanisms, applications, advantages, and disadvantages of both forward chaining and backward chaining, providing a comprehensive understanding of these inference techniques.

Forward chaining (or forward reasoning) is one of the two main methods of reasoning when using an inference engine and can be described logically as repeated application of modus ponens. Forward chaining is a popular implementation strategy for expert systems, business and production rule systems.

前向链接 (Forward Chaining) 是一种推理方法，用于基于已知事实逐步推导出结论。 在规则推理系统中，它从已知的起始事实或规则开始，通过匹配规则的条件部分，并根据匹配结果执行相应的操作，逐步推导出新的结论。

2024年10月15日 · 实现了正向链推理（Forward Chaining）和反向链推理（Backward Chaining）。 提供了IF类和相关的逻辑操作类（如AND, OR, NOT），用于构建和应用规则。 支持从给定假设推导出目标的逻辑路径。 3. 测试框架

前向链结（Forward Chaining）是一种推理方法，用于基于已知事实逐步推导出结论。 它从已知的起始事实或规则开始，通过匹配规则的条件部分，根据匹配结果执行相应的操作，逐步推导出新的结论。 这一过程一直持续，直到达到所需的目标或无法再进一步推导为止。 前向链结主要应用于专家系统和人工智能领域，用于推断和决策制定。 前向链结（Forward Chaining）是在人工智能领域中使用推理引擎进行自动推理的方法。 是数据驱动的推理策略，从已知事实出发，通过应 …

Forward chaining is a form of reasoning which start with atomic sentences in the knowledge base and applies inference rules (Modus Ponens) in the forward direction to extract more data until a goal is reached. The Forward-chaining algorithm starts from known facts, triggers all rules whose premises are satisfied, and add their conclusion to the ...

2024年12月12日 · Forward chaining is a data-driven reasoning strategy in AI. It starts with known facts and applies rules to generate new facts or reach a conclusion. The process continues until no more new facts can be inferred or a goal is achieved. This approach is often used in expert systems for tasks such as troubleshooting and diagnostics.

2023年7月21日 · Forward chaining, forward deduction or forward reasoning is a method involving inference or logical rules (facts) for data extraction. It is a bottom-up approach performed redundantly to reach the endpoint or goal (decision). It begins with evaluating existing information, followed by the manipulation based on the knowledge base.

2023年6月11日 · Forward chaining is a type of reasoning in which atomic clauses in a knowledge base are used to retrieve more data in the forward path using inference principles (Modus Ponens). Before deriving new information, the inference engine evaluates current data, derivations, and conditions in this sort of chaining.

2025年1月23日 · Forward chaining and backward chaining are two strategies used in designing expert systems for artificial intelligence. Forward chaining is a form of reasoning that starts with simple facts in the knowledge base and applies inference rules in the forward direction to extract more data until a goal is reached.