Dynamic Constraints Relaxation as a Theory of Insight

DOI 33 Citations 23 References

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Other Title
  • 表象変化の動的緩和理論 : 洞察メカニズムの解明に向けて

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Abstract

Research on insight has accumulated empirical evidence on its cognitive processes. However, there is little agreement on what problem-solvers learn from their initial failures and at what point an insight actually takes place. To explore these issues, we first propose a general framework that involves three constraints, object-level, relational, and goal. The object-level and relational constraints represent people's natural preferences of how objects and relations in a given problem are represented. The goal constraint evaluates a degree of match of the current state to the goal, and leads problem-solvers to select specific combinations of the representations of objects and relations. In the processes of insight, these constraints operate simultaneously and are gradually relaxed by repeated impasses. Using a geometric puzzle problem, we empirically tested hypotheses derived from the framework. Experimental results revealed that the initial persistence in a wrong approach could be explained by the object-level and goal constraints, and that subjects could reach an insight by relaxing the object-level constraints as well as allowing easy operation of goal constraints.

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Details 詳細情報について

  • CRID
    1390001204484970368
  • NII Article ID
    10009703972
  • NII Book ID
    AN1047304X
  • DOI
    10.11225/jcss.5.2_69
  • ISSN
    18815995
    13417924
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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