改进的布尔公式学习算法

当前，布尔公式学习算法的研究大多数是理论上的模型建立和推导，很少有人考虑到布尔公式学习算法在实际应用中的效率改进。现在较成熟的布尔学习算法主要利用的是询问模型，而询问模型需要依赖外部的SMT 工具进行询问问题的回答。虽然，布尔公式学习算法可以在多项式次数的询问之后得到正确结果，但是，减少询问的次数可以减少使用 SMT 工具进行问题计算的次数，即减少问题计算的时间。主要针对布尔公式学习算法在实际系统中的应用问题，提出了利用单调理论中的最小赋值向量的方法，来减少布尔公式学习算法的询问次数，提高算法效率和适用性。

Improved Learning Algorithm of Boolean Formula

Currently, most of the study of Boolean formula learning is theoretically the modeling and derivation. Less people considers efficiency improvements in practical applications. Now more mature Boolean formula learning algorithms mainly use the query model, and the query model relies on external SMT tools to answer the query problems. Although Boolean formula learning algorithm can get the right result after a polynomial number of queries, reducing the number of queries can reduce the number of using SMT tools to answer the queries, namely to reduce the computing time of the queries. This paper took the smallest monotonous assignment vector of the monotone theory to reduce the number of queries in Boolean formula learning algorithm and improved the efficiency of the learning algorithm.