Title :
Automated Knowledge Appreciation: A relevant reasoning approach to expand our knowledge and increase its value automatically
Author_Institution :
Department of Information and Computer Sciences, Saitama University, Japan
Abstract :
The problem what is the most intrinsic difference between animal-like intelligence and human-like intelligence was not satisfactorily investigated. As a result, almost all current socalled intelligent systems implemented only some animal-like intelligence but not human-like intelligence. This paper proposes a novel research direction: Automated Knowledge Appreciation, that intents to establish a general systematic methodology and develop automated tools to expand our knowledge and increase its value automatically. The paper presents a relevant reasoning approach to Automated Knowledge Appreciation.
Keywords :
Intelligent systems; automated theorem finding; human-like intelligence; knowledge appreciation; relevant reasoning; strong relevant logic;
Conference_Titel :
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2015 IEEE 14th International Conference on
Conference_Location :
Beijing, China
Print_ISBN :
978-1-4673-7289-3
DOI :
10.1109/ICCI-CC.2015.7259383