A finite-state machine (FSM) or finite-state automaton (FSA, plural: automata), finite automaton, or simply a state machine, is a mathematical model of computation. It is an abstract machine that can be in exactly one of a finite number of states at any given time.

Is a Markov chain the same as a finite state machine? 什么是马尔可夫链模型，通俗易懂，详细具体？ 上一篇文章 简要介绍了 有限状态机，FSM 中一个状态下得到什么输入，下一个状态是确定的。 马尔可夫链可以看作是一个 FSM，但是区别在于状态的转移不是确定性的，而是有概率的。 马尔可夫链b被广泛应用于计算机模拟中。 假如现在要预测一个大坝水溢出的概率，这取决于连续下雨的天数。 为了构建这一模型，先获取到了一些现实中的数据（S 表示晴天、R 表示雨 …

Also the package provides non-deterministic FSM (finite-state machine) functionality for evaluating of Markov chains. You can easily build a probabilistic automaton from the Markov chain. One more feature is an integration with amazing Graphviz tool. markovfsm plots a state transitions graph of Markov model for you. As usual, pip install markovfsm.

2017年7月13日 · The idea is that a Markov chain describes a process in which the transition to a state at time t+1 depends only on the state at time t. The main thing to keep in mind is that the transitions in a Markov chain are probabilistic rather than deterministic, which means that you can't always say with perfect certainty what will happen at time t+1.

马尔可夫链（Markov chain），又称离散时间马尔可夫链（discrete-time Markov chain），因俄国数学家安德烈·马尔可夫（俄语：Андрей Андреевич Марков）得名，为状态空间中经过从一个状态到另一个状态的转换的随机过程。

2024年3月18日 · While the finite-state machine is deterministic in nature, the Markov chain requires a distribution of probabilities to model the transition between states. In the limit case, where the transition from any state to the next is defined by a probability of 1, a Markov chain corresponds to a finite-state machine.

FSM can be modeled as a Markov chain for calculating transition probabilities. For computing the transition probabilities for a given STG, we need to know the probability distribution for the input nodes.

有限 状态机 （英语：finite-state machine，縮寫：FSM）又稱有限状态自动机，简称状态机，是表示有限个状态以及在这些状态之间的转移和动作等行为的数学 模型。 （FROM WIKI） 状态机中的核心内容：有限个状态、通过外部操作引起状态的转移。 现态：是指当前所处的状态。 条件：又称为事件。 当一个条件被满足，可能将会触发一个动作，或者执行一次状态的迁移。 动作：条件满足后执行的动作行为。 动作执行完毕后，可以迁移到新的状态，也可以仍旧保持原状态。 …

Markov chain can be obtained from the given FSM by assigning to each transition a probability that depends on the probability of the primary inputs that cause it. Consider, for example, the...

This project aims from a FSM (Finite State Machine), representing a Markov chain, to generate and rank the test cases. The test cases are ranked according to the sequence probability, i.e., the product of the probabilities of the arcs traversed.