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Insight or Trial and Error: Ambiguous Items as Clue for Discovering New Concepts in Constrained Environments

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5178))

Abstract

As our life becomes more sophisticated, our ability to create concepts is indispensable. Based on our concept formation model, which focuses on ambiguous items that cause a change of one’s decisions, we developed a web-based creativity support system. This is intended to guide users in the categorization of words in analogical reasoning by forming batches of words to discover new concepts. 20 junior high school students participated in an experiment, where concept formation is expected to be induced by an ambiguous interpretation of presented information under constraints. The result provided some evidence that an existence of ambiguous items corresponds to a diversification of a thought process either as insight or trial & error in categorizing words. The result also showed that the reconstruction of groups for including ambiguous items into some groups accelerates the creation of new concepts for better interpretation.

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Author information

Authors and Affiliations

  1. The University of Tokyo, Bunkyo-ku, Tokyo, 113-0033, Japan

    Jun Nakamura & Yukio Ohsawa

  2. Bearing Point, Chiyoda-ku, 100-6223, Japan

    Jun Nakamura

Authors
  1. Jun Nakamura
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  2. Yukio Ohsawa
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Editor information

Ignac Lovrek Robert J. Howlett Lakhmi C. Jain

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© 2008 Springer-Verlag Berlin Heidelberg

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Nakamura, J., Ohsawa, Y. (2008). Insight or Trial and Error: Ambiguous Items as Clue for Discovering New Concepts in Constrained Environments. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85565-1_92

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  • DOI: https://doi.org/10.1007/978-3-540-85565-1_92

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85564-4

  • Online ISBN: 978-3-540-85565-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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