The transformation layer will apply an inference process (similar to forward-chaining) and check for each node in the plan tree to see which query transformations apply to that node.
转换层将应用一个推理过程(类似于前推链接法)，并检查规划树中的每个节点，看哪些查询转换适用于该节点。
Decision tree learning is one of the widely used and practical methods for inductive inference.
决策树学习是应用最广泛的归纳推理算法之一。
Given the requirements of logical programming, a trinary-tree knowledge representation is proposed in this paper, and a framework of inference procedures based on the representation is given.
本文根据逻辑程序的要求，设计了知识结构的三叉树表示法，并给出了基于这种表示的推理过程的框架。
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