Reconstruction of Probabilistic Logical Networks

This paper deals with the reconstruction of probabilistic logical networks. Using semi-tensor product of matrix, probabilistic logical network is converted into algebraic form. In this paper, we propose an efficient algorithm for reconstruct the original multi-valued logical network from its probabilistic matrix. It was pointed out that the reconstruction of the network is not unique. Also, an illustrative example is given to testify the algorithm.