Learning implicit information in Bayesian games with knowledge transfer
文献类型：期刊论文
| 作者 | Chen Guanpu; Cao Kai; Hong Yiguang |
| 刊名 | Control Theory and Technology
 |
| 出版日期 | 2020 |
| 卷号 | 18期号:3页码:315-323 |
| 关键词 | Bayesian game repeated game knowledge transfer security |
| ISSN号 | 2095-6983 |
| 英文摘要 | In this paper, we consider to learn the inherent probability distribution of types via knowledge transfer in a two-player repeated Bayesian game, which is a basic model in network security. In the Bayesian game, the attacker's distribution of types is unknown by the defender and the defender aims to reconstruct the distribution with historical actions. It is difficult to calculate the distribution of types directly since the distribution is coupled with a prediction function of the attacker in the game model. Thus, we seek help from an interrelated complete-information game, based on the idea of transfer learning. We provide two different methods to estimate the prediction function in different concrete conditions with knowledge transfer. After obtaining the estimated prediction function, the defender can decouple the inherent distribution and the prediction function in the Bayesian game, and moreover, reconstruct the distribution of the attacker's types. Finally, we give numerical examples to illustrate the effectiveness of our methods. |
| 语种 | 英语 |
| CSCD记录号 | CSCD:6803397 |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/57730]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 作者单位 | 中国科学院数学与系统科学研究院 |
| 推荐引用方式 GB/T 7714 | Chen Guanpu,Cao Kai,Hong Yiguang. Learning implicit information in Bayesian games with knowledge transfer[J]. Control Theory and Technology,2020,18(3):315-323. |
| APA | Chen Guanpu,Cao Kai,&Hong Yiguang.(2020).Learning implicit information in Bayesian games with knowledge transfer.Control Theory and Technology,18(3),315-323. |
| MLA | Chen Guanpu,et al."Learning implicit information in Bayesian games with knowledge transfer".Control Theory and Technology 18.3(2020):315-323. |
入库方式： OAI收割
来源：数学与系统科学研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。