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.
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Wang, M., Mei, H., Jiao, W., Jie, J., Shi, T. (2010). Multi-agent System Collaboration Based on the Relation-Web Model. In: Wang, F.L., Deng, H., Gao, Y., Lei, J. (eds) Artificial Intelligence and Computational Intelligence. AICI 2010. Lecture Notes in Computer Science(), vol 6319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16530-6_17
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DOI: https://doi.org/10.1007/978-3-642-16530-6_17
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