Developing a real-time inference approach for rule-based reasoning systems

ISCAS OpenIR

	Developing a real-time inference approach for rule-based reasoning systems
	Qiao, Ying (1); Leng, Chang (1); Wang, Hongan (1); Liu, Jian (2)
	2013
Conference Name	2013 Research in Adaptive and Convergent Systems, RACS 2013
Pages	22-27
Conference Date	October 1, 2013 - October 4, 2013
Conference Place	Montreal, QC, Canada
Indexed Type	EI
Publish Place	Association for Computing Machinery, General Post Office, P.O. Box 30777, NY 10087-0777, United States
ISBN	9781450323482
Department	(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
English Abstract	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.
Language	英语
Content Type	会议论文
URI	http://ir.iscas.ac.cn/handle/311060/16665
Collection	中国科学院软件研究所
Recommended Citation 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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