Title :
Algebraic Representation of Asynchronous Multiple-Valued Networks and Its Dynamics
Author :
Chao Luo ; Xingyuan Wang
Author_Institution :
Fac. of Electron. Inf. & Electr. Eng., Dalian Univ. of Technol., Dalian, China
Abstract :
In this paper, dynamics of asynchronous multiple-valued networks (AMVNs) are investigated based on linear representation. By semitensor product of matrices, we convert AMVNs into the discrete-time linear representation. A general formula to calculate all of network transition matrices of a specific AMVN is achieved. A necessary and sufficient algebraic criterion to determine whether a given state belongs to loose attractors of length s is proposed. Formulas for the numbers of attractors in AMVNs are provided. Finally, algorithms are presented to detect all of the attractors and basins. Examples are shown to demonstrate the feasibility of the proposed scheme.
Keywords :
genetics; matrix algebra; network theory (graphs); AMVN; algebraic representation; asynchronous multiple-valued network dynamics; attractors; basins; discrete-time linear representation; loose attractors; network transition matrices; semitensor product; Bioinformatics; Biological system modeling; Boolean functions; Computational biology; Data structures; Heuristic algorithms; Vectors; Multiple-valued networks; algebraic representation; asynchronous stochastic update; dynamics;
Journal_Title :
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
DOI :
10.1109/TCBB.2013.112