A method on the qualitative representation and inference of the complex systems has been proposed based on the thought of tree inference in artificial intelligence.
基于人工智能中树图推理的思想，提出一种对复杂系统进行定性描述和推理的方法。
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。
应用推荐