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SCIENTIA SINICA Informationis, Volume 49, Issue 12: 1545-1558(2019) https://doi.org/10.1360/SSI-2019-0108

A general design method for artificial system based on multi-living agent theory

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  • ReceivedMay 30, 2019
  • AcceptedOct 25, 2019
  • PublishedDec 16, 2019

Abstract

The construction of an artificial system in the complex environment involves serious confrontations and tight constraints, which is why a new general design method is needed. This paper proposes a total design method to improve the performance of the artificial system based on multi-living agent system theory. Under the guidelines of the multi-living agent system theory, the proposed method takes the existence of the self-organizing mechanism and function as a premise. Considering the strict performance requirements and constraints of the newborn system, the functional living degree is used to make research and development decisions in layers. To verify the validity of the proposed method, we construct a terminal defense system and analyze performance improvement with system modeling.


Funded by

国家自然科学基金(61421001)


References

[1] Descartes R. Discourse on the method of rightly conducting the reason, and seeking truth in the sciences. ANS, 2009, 16: 57-61 CrossRef Google Scholar

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

[3] Haken H. Synergetics. IEEE Circ Dev Mag, 1977, 28: 412--414. Google Scholar

[4] Jantsch E. The Self-organizing Universe. Oxford: Pergamon Press, 1980. Google Scholar

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

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

[7] Vinnakota T. A conceptual framework for complex system design and design management. In: Proceedings of IEEE Systems Conference, Orlando, 2016. Google Scholar

[8] Mekdeci B, Ross A M, Rhodes D H. Pliability and Viable Systems: Maintaining Value Under Changing Conditions. IEEE Syst J, 2015, 9: 1173-1184 CrossRef Google Scholar

[9] Kurtoglu T, Tumer I Y. A Graph-Based Fault Identification and Propagation Framework for Functional Design of Complex Systems. J Mech Des, 2008, 130 CrossRef Google Scholar

[10] Orojloo H, Azgomi M A. A method for evaluating the consequence propagation of security attacks in cyber-physical systems. Future Generation Comput Syst, 2017, 67: 57-71 CrossRef Google Scholar

[11] Estefan J A. Survey of model-based systems engineering (MBSE) methodologies. Jet Propul, 2008, 25: 1--70. Google Scholar

[12] Mazeika D, Morkevicius A, Aleksandraviciene A. MBSE driven approach for defining problem domain. In: Proceedings of the 11th System of Systems Engineering Conference, Kongsberg, 2016. Google Scholar

[13] Zhu J, Yang H, Gao Y H, et al. Summary of model based system engineering. Aeroengine, 2016, 42: 12--16. Google Scholar

[14] Liu S, Shan T, Tao R. Liveness evaluation of multi-living agent system. J Syst Eng Electron, 2013, 24: 435-444 CrossRef Google Scholar

[15] Du S Y, Hu J, Jia L J, et al. Multi-satellite TT&C scheduling method based on multi-living agent theory. J Spacecr TT&C Technol, 2012, 31: 11--14. Google Scholar

[16] Dang Q, Li W P, Bai D M, et al. Construction of centralized monitoring systems for TT&C equipment with MLA theory. J Spacecr TT&C Technol, 2015, 34: 459--468. Google Scholar

[17] Wang Y, Wu J G, Hu J, et al. Multi-living agent system oriented quantitative method and planning based on complex multi-stage tasks. Trans Beijing Inst Technol, 2018, 281: 47--52. Google Scholar

[18] Li B, Liu C, Ke Y W. The study of intelligent community based on MLA method. Manage Technol SME, 2016, 8: 139--140. Google Scholar

[19] Wang Y, Tao R, Zhang H. Research on distributed intrusion detection system based on multi-living agent. Sci China Inf Sci, 2010, 53: 1067--1077. Google Scholar

[20] Ru L J, Zhen Q. Simple analysis of urban emergency interaction system based on MLA. Inform Sys Eng, 2010, 3: 139--140. Google Scholar

[21] Zhang Y Z. Analysis of detection system for “low, slow and small" target based on multi-living-agent. Commun Technol Guangxi, 2012, 2: 35--37. Google Scholar

[22] Zheng D Y, Xiong K H. Research of integrated business management platform based on multi-living agent. Microcomput Appl, 2012, 31: 90--92. Google Scholar

[23] Zhong D, Chen C. The study and application of “trinity system" based on multi-living agent method. In: Proceedings of International Conference on Information Technology and Management Science, 2016. Google Scholar

[24] Li B, Liu C. Analysis of on Intelligent Community Based on Multi-Living Agent. JCC, 2017, 05: 49-56 CrossRef Google Scholar

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

[26] Jaiswal N k. Military Operations Research: Quantitative Decision Making. Berlin: Springer, 2012. Google Scholar

  • Figure 1

    The framework of terminal defense system based on MLA

  • Table 1   Destruction parameter index of ground attack ammunition
    Index Antiaircraft gun Short-range missile
    Attack range $1.5\sim0.2$ km $4\sim0.3$ km
    Angle of site 15$^{\circ}\sim70^{\circ}$ 15$^{\circ}\sim40^{\circ}$
  • Table 2   The definition of probability of unit condition
    Symbol Expression
    $P_1$ Effectual shooting probability
    $P_2$ Kill probability
    $P_3$ Detection probability
    $P_4$ Successful convert probability from detection to tracking
    $P_5$ Anti interference probability of searching
    $P_6$ Anti interference probability of tracking
    $P_7$ Correct computation probability of firing data
    $P_8$ Correct command execution probability of firing system
    $P_9$ Correct administrator command receiving probability of firing system
    $P_{10}$ Others

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