日 本 我一直在研究国家警察的问题、计算复杂性和理论。 我认为,我终于掌握了 Tur机的概念,但我有两点怀疑。
我可以认为,非决定性的涡轮机有几种选择,可以选择对某一特定国家和象征而言应做些什么,而且它总是选择最佳选择,如维基百科全书所述。
How does the NTM "know" which of these actions it should take? There are two ways of looking at it. One is to say that the machine is the "luckiest possible guesser"; it always picks the transition which eventually leads to an accepting state, if there is such a transition. The other is to imagine that the machine "branches" into many copies, each of which follows one of the possible transitions. Whereas a DTM has a single "computation path" that it follows, an NTM has a "computation tree". If any branch of the tree halts with an "accept" condition, we say that the NTM accepts the input.
我无法理解的是,由于这是一个富有想象力的机器,我们从说它能够在多半的时间内解决国家警察的问题,取得了哪些成果? 我指的是,我也可以把解决国家警察问题的一个神职机器ize魔化,如果永远不会存在,我会从中获益吗?
提前感谢。