A multi-agent model based on market competition for task allocation: a game theory approach
文献类型：会议论文
| 作者 | Wang GQ(王国权); Yu HB(于海斌) ; Xu JQ(徐竞青); Huang SQ(黄时佺)
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| 出版日期 | 2004 |
| 会议名称 | 2004 IEEE International Conference on Networking, Sensing and Control |
| 会议日期 | March 21-23, 2004 |
| 会议地点 | Taipei |
| 页码 | 282-286 |
| 通讯作者 | 王国权 |
| 中文摘要 | This paper is devoted to the problem of task allocation in multi-agent systems. Multi-agent systems form a particular type of distributed artificial intelligence system. This paper presents a model based on market competition to solve task allocation problem in MAS. In addition, two algorithms are described in detail which generate reasonable solutions to the task allocation problem based on the following criteria: 1) each agent try to maximize its own profits, and, 2) based on the first criterion, agents try to contribute to the group profits. We utilize game theory to analyze problems of conflict among interacting decision agents. In view of the complexity of calculating Nash equilibria points, one-step Nash equilibrium approach is adopted in the algorithms. Experimental results prove the rationality of the MAS model and the effectiveness of the algorithms presented. |
| 收录类别 | EI |
| 产权排序 | 1 |
| 会议主办者 | IEEE |
| 会议录 | Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control
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| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| 源URL | [http://ir.sia.cn/handle/173321/8042]  |
| 专题 | 沈阳自动化研究所_工业信息学研究室_工业控制系统研究室 |
| 推荐引用方式 GB/T 7714 | Wang GQ,Yu HB,Xu JQ,et al. A multi-agent model based on market competition for task allocation: a game theory approach[C]. 见:2004 IEEE International Conference on Networking, Sensing and Control. Taipei. March 21-23, 2004. |
入库方式： OAI收割
来源：沈阳自动化研究所
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