Semantic Abstraction for Concept Representation And Learning

Abstract

So far, abstraction has been mainly investigated in problem solving tasks. In this paper, we are interested in the role of abstraction in representing and learning concepts (i.e., intensional descriptions of classes of objects). We propose a novel perspective on abstraction, originating from the observation that a conceptualization of a domain involves entities belonging to at least three levels. The fundamental level is the perception of the world, where concrete objects reside. For memorizing objects, some kind of structure, which describes objects and relations perceived in the world, is needed. Finally, to communicate with others, and also to perform reasoning, a language has to be used; the language allows both the world and theories about the world to be described intensionally.

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