A Multi-Agent System ( MAS ) is a promising approach to build complex system. This paper introduces the research of the Inner-Enterprise Credit Rating MAS ( IECRMAS). To raise the rating accuracy, we not only cons...A Multi-Agent System ( MAS ) is a promising approach to build complex system. This paper introduces the research of the Inner-Enterprise Credit Rating MAS ( IECRMAS). To raise the rating accuracy, we not only consider the rating-target's information, but also focus on the evaluators' feature information and propose the rational rating-group formation algorithm based on an anti-bias measurement of the group. We also propose the rational rating individual, which consists of the evaluator and the assistant rating agent. A rational group formation protocol is designed to coordinate autonomous agents to perform the rating job.展开更多
基金This paper is supported by National Science Foundation of China under Grant No60542004
文摘A Multi-Agent System ( MAS ) is a promising approach to build complex system. This paper introduces the research of the Inner-Enterprise Credit Rating MAS ( IECRMAS). To raise the rating accuracy, we not only consider the rating-target's information, but also focus on the evaluators' feature information and propose the rational rating-group formation algorithm based on an anti-bias measurement of the group. We also propose the rational rating individual, which consists of the evaluator and the assistant rating agent. A rational group formation protocol is designed to coordinate autonomous agents to perform the rating job.
基金the Key Project of National Natural Science Foundation of China under Grant No.60496323(国家自然科学基金重大项目)the Natural Science Foundation of Shandong Province of China under Grant No.Y2005G13(山东省自然科学基金).