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関連性体系における認知構造の類型化


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Title: 関連性体系における認知構造の類型化
Other Titles: Typification of Cognitive Structure in Relevance System.
Authors: 清木, 泰弌
Authors (alternative): Seiki, Yasukazu
Issue Date: Jan-1984
Publisher: 長崎大学工学部 / Faculty of Engineering, Nagasaki University
Citation: 長崎大学工学部研究報告, 14(22), pp.27-34; 1984
Abstract: Schutz's 'Typification and Relevance' (T&R) is applied to the characterization of cognitive structure. T&R presents a schema for representation and interpretation of knowledge and experience, which enables us to study in the integrated form some important topics on artificial intelligence, i.e., Learning, Planning, Problem Solving, and Language Processing. The Relevances based on our interests form Typification Network, into which associated knowledge is assigned, and give us a schema to interpret the executed behaviour or planning. Explaining the intention of behaviour in terms of 'attribution process' is also applied to the problem of Learning and Planning. The study of cognitive problem on T&R indicates us the structural 'blanks' concerning the possibility of artificial intelligence and its representation, and therefore the attempt to fill the blanks with the meaning of typified experiences must be based on the 'heuristic' problem solving.
URI: http://hdl.handle.net/10069/24127
ISSN: 02860902
Type: Departmental Bulletin Paper
Text Version: publisher
Appears in Collections:Volume 14, No. 22

Citable URI : http://hdl.handle.net/10069/24127

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