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Intelligent Problem Solving Model and its Cross Research Directions Based on Factor Space and Extenics

Author

Listed:
  • Xingsen Li

    (Guangdong University of Technology)

  • Junlin Zeng

    (Guangdong University of Technology)

  • Haitao Liu

    (Liaoning Technical University)

  • Peizhuang Wang

    (Liaoning Technical University)

Abstract

Artificial intelligence technology has made important progress in machine learning and problem-solving with relatively determined boundary conditions. However, the more common open problems with uncertain boundary conditions in management practice still depend on the experience mastered by individuals. The combination of Extenics, Factor Space, and knowledge management will potentially solve this kind of problem intelligently to a extent. Based on Extenics and factor space theory, this paper studies the Extension model of open problems, explores the intelligent expansion mechanism of factor knowledge in big data environment, and constructs the double integration of multi granularity factor knowledge space and expert experience knowledge. We try to make Extenics and factor space theory complement each other in the field of problem solving, reveal the knowledge expansion mechanism of open problem solving in the big data environment, provide a novel theoretical perspective and method basis for knowledge based intelligent service on factor mining. This paper will also provide theoretical research directions for building a new generation of problem-oriented new factor knowledge base, promote the deep integration of knowledge management and artificial intelligence leading to a new direction of knowledge engineering based on factor space and Extenics.

Suggested Citation

  • Xingsen Li & Junlin Zeng & Haitao Liu & Peizhuang Wang, 2022. "Intelligent Problem Solving Model and its Cross Research Directions Based on Factor Space and Extenics," Annals of Data Science, Springer, vol. 9(3), pages 469-484, June.
    • Handle: RePEc:spr:aodasc:v:9:y:2022:i:3:d:10.1007_s40745-022-00385-w
    DOI: 10.1007/s40745-022-00385-w
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    References listed on IDEAS

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    1. Montag-Smit, Tamara & Maertz, Carl P., 2017. "Searching outside the box in creative problem solving: The role of creative thinking skills and domain knowledge," Journal of Business Research, Elsevier, vol. 81(C), pages 1-10.
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    3. Peizhuang Wang & He Ouyang & Yixin Zhong & Huacan He, 2016. "Cognition Math Based on Factor Space," Annals of Data Science, Springer, vol. 3(3), pages 281-303, September.
    4. Lars Bo Jeppesen & Karim R. Lakhani, 2010. "Marginality and Problem-Solving Effectiveness in Broadcast Search," Organization Science, INFORMS, vol. 21(5), pages 1016-1033, October.
    5. Feng Liu & Yong Shi, 2020. "Investigating Laws of Intelligence Based on AI IQ Research," Annals of Data Science, Springer, vol. 7(3), pages 399-416, September.
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