• DocumentCode
    8131
  • 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
  • Volume
    10
  • Issue
    4
  • fYear
    2013
  • fDate
    July-Aug. 2013
  • Firstpage
    927
  • Lastpage
    938
  • 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;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2013.112
  • Filename
    6600681