An Approach of Self-Organizing Systems Based on Factor-Order Space

To explore new system self-organizing theory, it’s urgent to find a new method in the system science. This paper combines factor space theory with system non-optimum theory, applies it into the research of system self-organizing theory and proposes new concepts as system factor space, object-factor and space-order relation. It constructs factor-space framework of system self-organizing based on factor mapping and object inversion, studies system ordering from a new perspective with optimum and non-optimum attributes as the basis of system uncertainty, and expands factor space theory from f(0,o) to f(o,0). The research suggests that the construction of system factor space is to build an information system capable of self-learning for system self-organization and better enhance functions of system self-organization by adopting information fusion of data analysis and perception judgment.

@article{Li2016,
  title     = {An Approach of Self-Organizing Systems Based on Factor-Order Space},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {4},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Jin Li and Ping He},
  doi       = {10.14569/IJACSA.2016.070407},
  url       = {https://doi.org/10.14569/IJACSA.2016.070407}
}