NDLI: Fast Qualitative Reasoning about Actions for Computing Anticipatory Systems

Content Provider	IEEE Xplore Digital Library
Author	Kitajima, N. Goto, Y. Jingde Cheng
Copyright Year	2008
Description	Author affiliation: Dept. of Grad. Sch. of Sci. & Eng., Saitama Univ., Saitama (Kitajima, N.; Goto, Y.; Jingde Cheng)
Abstract	A computing anticipatory system has to reason about actions as fast as possible in order to decide its next actions anticipatorily. We have implemented an action reasoning engine with general-purpose for various computing anticipatory systems and performed some experiments with the action reasoning engine and empirical knowledge represented quantitatively. Our experiments showed that the quantitative approach is very time-consuming and therefore it is not suitable to computing anticipatory systems with high reliability and high security requirements. This paper presents a qualitative approach for reasoning about actions fast. We show that the qualitative approach is more effective than the quantitative approach and therefore it is more suitable to computing anticipatory systems with high reliability and high security requirements.
Starting Page	171
Ending Page	178
File Size	509605
Page Count	8
File Format	PDF
ISBN	9780769531021
DOI	10.1109/ARES.2008.118
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-04
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Availability Geographic Information Systems computing anticipatory systems Decision making Robot vision systems Predictive models Reliability engineering Engines decision-making Information security qualitative reasoning Logic reasoning about actions Artificial intelligence action reasoning engine
Content Type	Text
Resource Type	Article

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