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| Developing a real-time inference approach for rule-based reasoning systems | |
| Qiao, Ying (1); Leng, Chang (1); Wang, Hongan (1); Liu, Jian (2) | |
| 2013 | |
| 会议名称 | 2013 Research in Adaptive and Convergent Systems, RACS 2013 |
| 页码 | 22-27 |
| 会议日期 | October 1, 2013 - October 4, 2013 |
| 会议地点 | Montreal, QC, Canada |
| 收录类别 | EI |
| 出版地 | Association for Computing Machinery, General Post Office, P.O. Box 30777, NY 10087-0777, United States |
| ISBN | 9781450323482 |
| 部门归属 | (1) Beijing Key Lab. of Human-computer Interaction, Institute of Software, Chinese Academy of Sciences, No.4, Zhong Guan Cun Nan Si St., Beijing, China; (2) Shanxi Electric Power Research Institute, YouYi East Rd., Xi'an Shan Xi, China |
| 摘要 | Rule-based reasoning systems play importance roles for many real-time intelligent systems that need to take time-critical actions in response to the continuously arriving events. In this paper, we propose a novel inference approach, called RTINF to make the reasoning system meet its hard deadlines. A series of simulation studies are conducted to evaluate the performance of RTINF. © 2013 ACM.; Rule-based reasoning systems play importance roles for many real-time intelligent systems that need to take time-critical actions in response to the continuously arriving events. In this paper, we propose a novel inference approach, called RTINF to make the reasoning system meet its hard deadlines. A series of simulation studies are conducted to evaluate the performance of RTINF. © 2013 ACM. |
| 语种 | 英语 |
| 内容类型 | 会议论文 |
| URI标识 | http://ir.iscas.ac.cn/handle/311060/16665 |
| 专题 | 中国科学院软件研究所 |
| 推荐引用方式 GB/T 7714 | Qiao, Ying ,Leng, Chang ,Wang, Hongan ,et al. Developing a real-time inference approach for rule-based reasoning systems[C]. Association for Computing Machinery, General Post Office, P.O. Box 30777, NY 10087-0777, United States,2013:22-27. |
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