基于半Markov决策过程的概率布尔网络模型
A probabilistic Boolean network based on semi-Markov decision processes
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摘要: 借助半Markov决策过程理论研究了概率布尔网络中的最优控制问题.将概率布尔网络的控制模型转化为首达目标的半Markov决策过程模型, 通过选取最优控制输入使得和系统相关的目标函数最小,从而解决了一个最优控制问题,并举例说明所用方法的效用.Abstract: An optimal control problem in a PBN with the help of the theory of Semi-Markov decision processes is studied. Specifically, a control model for a PBN as a first passage model for semi-Markov decision processes is firstly formulated and then an optimal control problem is solved for choosing optimal control inputs in a PBN such that an objective function related to system behavior is minimal. In order to illustrate the validity of our approach, an example is also displayed.