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This study models creativity by analyzing academic language, identifying fourteen key components. This novel approach provides a framework for evaluating creative behavior and practice across various domains.

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Area of Science:

  • Cognitive Science
  • Computational Linguistics
  • Psychology of Creativity

Background:

  • Creativity is a complex, multi-faceted concept requiring scientific study.
  • A well-articulated model is crucial for understanding and evaluating creative practice.
  • Existing models may not fully capture the nuances of creative behavior.

Purpose of the Study:

  • To develop a tractable and comprehensive model of creativity.
  • To identify key components of creative behavior through linguistic analysis.
  • To provide an ontology for modeling creativity in diverse domains.

Main Methods:

  • Statistical natural language processing techniques were applied to a corpus of academic papers on creativity.
  • Lexical similarity measures were used to cluster identified keywords.
  • Analysis focused on words frequently associated with the concept of creativity.

Main Results:

  • Fourteen key components of creativity were identified.
  • Distinct themes emerged from the linguistic analysis, forming a multi-perspective model.
  • The identified components offer a structured ontology for creativity.

Conclusions:

  • The developed model provides a novel, language-based approach to understanding creativity.
  • The fourteen components serve as building blocks for modeling creative practice.
  • Case studies demonstrated the utility of the model in evaluating computational creativity.