Modeling of Changing Logical Structures when Unanticipated Information Emerges

p. 149-160

Résumé

Anticipation involved in our reading process deepens our experience, supporting the sense of understanding, suspense, and surprise. Rough set driven lattice is a suitable tool for analyzing subjective phenomenon such as reading because 1) it produces Boolean as well as non-Boolean lattices that reflect the input information, and 2) this method requires two interpretations of a target, such as subject and attribute, which a sentence provides. By using this method, we can compare how a logical structure resulting from reading with anticipation is different from the information revealed by the actual text. The difference is quantified by complement properties of a lattice, through complementarity and non-distributivity.

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Référence papier

Eugene S. Kitamura et Yukio-Pegio Gunji, « Modeling of Changing Logical Structures when Unanticipated Information Emerges », CASYS, 24 | 2010, 149-160.

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Eugene S. Kitamura et Yukio-Pegio Gunji, « Modeling of Changing Logical Structures when Unanticipated Information Emerges », CASYS [En ligne], 24 | 2010, mis en ligne le 06 September 2024, consulté le 20 September 2024. URL : http://popups.lib.uliege.be/1373-5411/index.php?id=3078

Auteurs

Eugene S. Kitamura

Nonlinear Science Research Group, Department of Earth and Planetary Sciences, Graduate School of Science, Kobe University, Rokkodai-cho 1-1 , Nada, Kobe, 657-8501, Japan

Yukio-Pegio Gunji

Nonlinear Science Research Group, Department of Earth and Planetary Sciences, Graduate School of Science, Kobe University, Rokkodai-cho 1-1 , Nada, Kobe, 657-8501, Japan

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