Automated Knowledge Appreciation: A relevant reasoning approach to expand our knowledge and increase its value automatically

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.