his paper presents two novel approaches to solving the classic board game mastermind, including a variant of simulated annealing (SA) and a technique we term maximum expected reduction in consistency (MERC). In addition, we compare search results for these algorithms to two baseline search methods: a random, uninformed search and the method of minimizing maximum query partition sets as originally developed by both Donald Knuth and Peter Norvig.
翻译:他的论文介绍了解决经典棋盘游戏主机的两种新颖方法,包括模拟整流(SA)的变异(SA ), 以及我们用最大预期的一致减速(MERC ) ( MERC ) 来形容这些算法的搜索结果。 此外,我们将这些算法的搜索结果与两种基线搜索方法进行了比较:随机、不知情的搜索以及将最初由Donald Knuth 和 Peter Norvig 开发的最大查分数据集最小化的方法。