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Published in:
2010 | OriginalPaper | Chapter
Multi-agent System Collaboration Based on the Relation-Web Model
Authors : Maoguang Wang, Hong Mei, Wenpin Jiao, Junjing Jie, Tingxun Shi
Published in: Artificial Intelligence and Computational Intelligence
Publisher: Springer Berlin Heidelberg
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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.