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Conflict-resolution in multi-ES cooperation system

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Abstract

In the so called “Group Problem”[4] (we would like to term it “Group-Consulting Type Cooperation”), ESs of the same cooperating group may have different views towards the same problem, and the differences may sometimes be very great. For the circumstance of those ESs with relatively closer views, we present in this paper three methods of consistency treatment and a method for calculating the maximal deviation of the confidence value about the cooperating group's common view based on the consistency degree of those different views. For the circumstance of those views being not very close to each other and also not very different from each other, we designed two synthesis functions for synthesizing multiple views. These two circumstances are formally defined in this paper. A comparison between these two functions and the combining function in [4] is also demonstrated. In the last section of this paper, we present a discussion about some further research topics of conflict-resolution in the group problem.

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References

  1. N.A. Khan and R. Jain, Uncertainty management in a distributed knowlege based system.Artificial Intelligence (Czechoslovakia), 1988, 7(6), 543–564.

    MATH  MathSciNet  Google Scholar 

  2. Liu Dayou, Zhong Shaochun and Gao Yaqing, A reasoning model for integrating two levels of uncertainty. CJCAI-90, 7–12, 1990.

  3. Lu Ruqian, Expert union: united service of distributed expert systems. Technical report 853, Institute of Mathematics, Academia Sinica, 1985.

  4. Keung-Chi Ng and Bruce Abramson, A model for using multiple knowledge bases in an expert system. Proc. 9th Int'l Workshop on Expert Systems and Their Applications, pp. 269–280, 1989.

  5. Yang Ying, Liu Dayouet al., An important extension of an evidence theory-based uncertainty reasoning model. Proc. Int'l Conf. '89 on Expert Systems in Engineering Applications, 50–53, 1989.

  6. Guan Jiwenet al. Model expert system MES. Proc. IJCAI-85, 397–399.

  7. Liu Dayou and Kong Zhuangzhi, Expert system tool MESI. Proc. Int'l Conf. '89 on Expert Systems in Engineering Applications, 235–240, 1989.

  8. Guan Jiwen and Zhang Chengqi, Analysis of the unit element in inexact reasoning in expert systems. Proc. 2nd Int'l Conf. on Computers and Applications, 391–393, 1987.

  9. S. French, Group consensus probability distribution: a critical survey. In J. M. Bernardo, M. H. Degroot, D. V. Lindley, and A. F. M. Smith (eds.) Bayesian Statistics 2, 183–202, Elsvier Science Publishers, 1985.

  10. C. Genest and J. V. Zidek, Combining probability distributions: a critique and an anotated bibliography.Statistical Science, 1986, 1(1), 114–148.

    Article  MathSciNet  Google Scholar 

  11. Zheng Fangqing, Liu Dayou and Tang Rikun, High level reasoning in cooperative knowledge systems. Proc. of the Int'l Conf. on Tools for Artificial Intelligence 90, Washington, D.C., 1990.

  12. Ma Zhifang and Liu Dayou, Relative correctness and its calculation in distributed problem-solving. CJCAI-90, 49–55, 1990.

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This research was supported by the National “863” Project under contract number 306-1041, by the National 7th Five-Year-Plan Project under contract number 75-68-5-3, and by the National Natural Science Foundation of China under contract number B6874002.

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Liu, D., Zheng, F., Ma, Z. et al. Conflict-resolution in multi-ES cooperation system. J. of Comput. Sci. & Technol. 7, 369–378 (1992). https://doi.org/10.1007/BF02943554

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  • DOI: https://doi.org/10.1007/BF02943554

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