Abstract
This paper proposes a model of human creative activities using the framework of wisdom science. The two main components of the model are the concept processing and image processing modules, which function in parallel with information exchange links between them. The model is also discussed related to the model of tacit and explicit knowledge. The concept of system science serves as the basic framework for the modeling and analysis.
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Maeshiro, T.: Proposal of wisdom science. In: Yamamoto, S., Mori, H. (eds.) HCII 2021. LNCS, vol. 12766, pp. 406–418. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-78361-7_31
Nonaka, I.: A dynamic theory of organizational knowledge creation. Organ. Sci. 5, 14–37 (1994)
Berge, C.: The Theory of Graphs. Dover (2001)
Maeshiro, T., Ozawa, Y., Maeshiro, M.: A system description model with fuzzy boundaries. In: Yamamoto, S. (ed.) HIMI 2017. LNCS, vol. 10274, pp. 390–402. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58524-6_31
Maeshiro, T.: Framework based on relationship to describe non-hierarchical, boundaryless and multi-perspective phenomena. SICE J. Control Measur. Syst. Integr. 11, 381–389 (2019)
Polanyi, M.: Genius in science. Encounter 38, 43–50 (1972)
Quiroga, R.Q., Reddy, L., Kreiman, G., Koch, C., Fried, I.: Invariant visual representation by single neurons in the human brain. Nature 435, 1102–1107 (2005)
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Maeshiro, T., Ozawa, Y., Maeshiro, M. (2022). Wisdom Science of Image Conceptualization. In: Yamamoto, S., Mori, H. (eds) Human Interface and the Management of Information: Visual and Information Design. HCII 2022. Lecture Notes in Computer Science, vol 13305. Springer, Cham. https://doi.org/10.1007/978-3-031-06424-1_3
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DOI: https://doi.org/10.1007/978-3-031-06424-1_3
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