図的情報による推論の促進

概要

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People often use diagrams when they think and solve problems because diagrams (figures, graphs, charts, and so on) facilitate their reasoning or problem-solving easier. In recent years numerous research has been conducted regarding diagrammatic reasoning (reasoning with diagrammatic information). It also reflects difficulty in sufficiently dealing with diagrammatic reasoning by the traditional AI (Artificial Intelligence) approach which is purely prepositional reasoning. A large number of studies have been carried out in this area. However, how the results of these studies are related is not very clear because there has been exist no appropriate theoretical framework to deal with diagrammatic reasoning comprehensively. Zhang and Norman (1994) proposed a new theoretical framework of distributed representations and a methodology of representational analysis for the study of distributed cognitive tasks. This framework also provides studies of diagrammatic reasoning with a new perspective. In this article, the author will first review the current studies of diagrammatic reasoning, introduce the framework of distributed representations, and finally discuss implications and problems of this framework.
放送大学の論文