Multi-agent system collaboration based on the relation-web model

  • Authors:

  • Maoguang Wang;Hong Mei;Wenpin Jiao;Junjing Jie;Tingxun Shi

  • Affiliations:

  • Key Laboratory of High Confidence Software Technologies of Ministry of Education, School of Electronics Engineering and Computer Science, Peking University, Beijing, China;Key Laboratory of High Confidence Software Technologies of Ministry of Education, School of Electronics Engineering and Computer Science, Peking University, Beijing, China;Key Laboratory of High Confidence Software Technologies of Ministry of Education, School of Electronics Engineering and Computer Science, Peking University, Beijing, China;Key Laboratory of High Confidence Software Technologies of Ministry of Education, School of Electronics Engineering and Computer Science, Peking University, Beijing, China;Key Laboratory of High Confidence Software Technologies of Ministry of Education, School of Electronics Engineering and Computer Science, Peking University, Beijing, China

  • Venue:
  • AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
  • Year:
  • 2010

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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.