SCIENTIA SINICA Informationis, Volume 49, Issue 12: 1535-1544(2019) https://doi.org/10.1360/SSI-2019-0109

Application layer extension of system dissipative self-organization theory—example analysis of multi-living agent method

More info
  • ReceivedMay 30, 2019
  • AcceptedSep 16, 2019
  • PublishedDec 16, 2019


Starting from the mechanism of “self-organization" which implies that human society always evolves from a lower to a higher level, this paper discusses the dialectical relation between “self-organization" and “other-organization" and the expression of the core factors of human-dominated social development in the realistic environment of open complex giant system. Several examples show that it is difficult for the self-organization mechanism of the system to fulfill the dynamic adjustment requirements of system's service functions, which indicates that the system's self-organization function has limitations when practically applied in the time-space complex and strong constraint antagonism environment, thus leading to the expansion of dissipative self-organization theory—the multi-living agent theory method. It is the dominant information system service function that dynamically adjusts and adapts to requirements in the complex and severe environment dominated by high-level experts in the field of practice, using the other-organization mechanism and the multi-living agent theory. In order to further explore and support practical application, our team has written a series of articles. This article mainly introduces the theoretical overview, the core idea of construction, and four application modes of multi-living agent theory including system construction, architecture adjustment, single agent adjustment, and capability enhancement of management and control agent. The other two articles, “A general design method for artificial system based on multi-living agent theory" and “Artificial system architecture adjustment method based on multi-living agent", respectively verify one of the application modes through qualitative analysis and quantitative modeling.

Funded by



[1] Prigogine I, Stengers I. Order Out of Chaos. New York: Bantam Books Inc., 1984. Google Scholar

[2] Haken H. Synergetics. IEEE Circuits & Devices Magazine, 1977, 28(9):412-414. Google Scholar

[3] Qian X S, Yu J Y, Dai R W. A new discioline of science---the study of open complex giant system and its methodology. Chin J Nat, 1990, 01: 3-10+64. Google Scholar

[4] Wang Y. A novel method of constructing complex information system---multi-living agent method. Eng Sci, 2006, 8(5):29-32. Google Scholar

[5] Wang Y, Tao R, Li B Z. Using the multi-living agent concept to investigate complex information systems. Sci China Ser E-Inf Sci, 2008, 38(12): 2020-2037. Google Scholar

[6] Wang Y, Tao R, Li B Z, et al. Multi-living agent methods for the function enhancement of the information system. Sci ChinaInf Sci, 2013,43: 821-841. Google Scholar

[7] Wang Y, Tao R, Zhang H. Research on distributed intrusion detection system based on multi-living agent. Sci ChinaInf Sci, 2010, 40(4):613-623. Google Scholar

[8] Wu J G. Research on TT&C network system architecture based on multi-living agents theory. Dissertation for Ph.D. Degree. Beijing: Beijing Institute of Technology, 2018. Google Scholar

[9] Wang Y. System Theory and Artificial System Design. Beijing: Beijing Institute of Technology Press, 2019. 257--260. Google Scholar

[10] Ye Z H, Chen G F, Zhu G W, et al. Detection results of space particle environment over Fengyun-1 (B) satellite. Scientia Sinica(Mathematica), 1993, 5: 539--544. Google Scholar

  • Figure 1

    Five-factor comprehensive “other-organization” driven evolution model diagram

  • Table 1   Scalable index system for artificial system
    Performance dimension Economic cost dimension Application survival Development
    time dimension space dimension
    Performance fractional Development cost Association performance Principles of complex
    dimension fractional dimension fractional dimension social development
    and evolution
    Operational performance Manufacturing cost Association social Coevolutionary survival
    fractional dimension fractional dimension environment fractional of the fittest
    Antagonistic performance Using cost Association competitive Reserved development
    fractional dimension fractional dimension survival time space
    fractional dimension

Copyright 2020 Science China Press Co., Ltd. 《中国科学》杂志社有限责任公司 版权所有