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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

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

Abstract

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

国家自然科学基金(61421001)


References

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  • 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
    dimension
    Antagonistic performance Using cost Association competitive Reserved development
    fractional dimension fractional dimension survival time space
    fractional dimension

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