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Multi-agent System Collaboration Based on the Relation-Web Model

  • Maoguang Wang
  • Hong Mei
  • Wenpin Jiao
  • Junjing Jie
  • Tingxun Shi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6319)

Abstract

In a multi-agent system, the agents have the capability to work collaboratively to solve the complex task. In recent years social computing provides a new perspective for multi-agent collaboration. This paper first introduces the role model and role relationships including role inheritance, role preference, role binding etc. Then a relation-web model is proposed referring to the social computing research. To a great extent, the relation-web model is used to simulate the social collaboration. The relation weight called trust degree is updated according to their collaboration result. When a complex task is assigned to some agents, the agents will construct the relation-webs for the sub-tasks completion. Finally, to test the relation-web model, an experiment is designed to predict the electricity consumption. The result proves the model to be available and useful while simulating the multi-agent collaboration process for solving the practical problem.

Keywords

relation-web model multi-agent system collaboration 

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References

  1. 1.
    Wang, F.-Y., Zeng, D., Carley, K.M., Mao, W.: Social Computing: From Social Informatics to Social Intelligence. IEEE Intelligent Systems, 79–83 (2007)Google Scholar
  2. 2.
    Wang, M., Shi, Z., et al.: Agent Grid Collaborative Schema Based on Policy. In: Communications in Computer and Information Science. 3rd International Conference on Intelligent Computing, vol. 2, pp. 469–478 (2007)Google Scholar
  3. 3.
    Pan, X.-Y., Jiao, L.-C.: Social cooperation based multi-agent evolutionary algorithm. Journal of Xidian University 36(2), 247–280 (2009)Google Scholar
  4. 4.
    Tao, H., Wang, Y., Guo, M., Wang, H.: A multi-Agent Negotiation Model Based on Acquaintance Coalition and Extended Contract Net Protocol. Journal of Computer Research and Development 43(7), 1155–1160 (2006)CrossRefGoogle Scholar
  5. 5.
    Dignum, V., Dignum, F.: Coordinating tasks in agent organizations Or: Can we ask you to read this paper? In: Coordination, Organization, Institutions and Norms COIN@ECAI 2006 (2006)Google Scholar
  6. 6.
    Chang, Z.E., Li, S.: Social collaboration model support for collaborative 3D GIS environment based on multi-agent method. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing, vol. XXXVII, Part B2, pp. 1059–1063 (2008)Google Scholar
  7. 7.
    Chen, G., Lu, R.: The Relation Web Model-An Organizational Approach to Agent Cooperation Based on Social Mechanism. Journal of Computer Research and Development 40(1), 107–113 (2003)MathSciNetGoogle Scholar
  8. 8.
    Wang, M.: Research on Modeling and Collaboration in Autonomic Computing. Phd Dissertation, Chinese Academy of Sciences (2007)Google Scholar
  9. 9.
    Song, Y., Gu, A., Wu, Z.: Urban residential electricity consumption forecast model. Electric Power 39(9), 66–70 (2006)Google Scholar
  10. 10.
    Shi, Z., Zhang, H., Dong, M.: MAGE: Multi-Agent Environment. In: ICCNMC 2003, pp. 181–188. IEEE CS Press, Los Alamitos (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Maoguang Wang
    • 1
  • Hong Mei
    • 1
  • Wenpin Jiao
    • 1
  • Junjing Jie
    • 1
  • Tingxun Shi
    • 1
  1. 1.Key Laboratory of High Confidence Software Technologies of Ministry of Education, School of Electronics Engineering and Computer SciencePeking UniversityBeijingChina

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