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In this paper, we use the inference rules and reasoning rules in the shape grammar to extract the elements of the cultural and creative product design, obtain the graphical elements of the cultural and creative product, import the determined graphical elements of the cultural and creative product of the inference object into Illustrator, use the pen tool to outline the morphological curves of the ornaments into paths, and at the same time organize the outlined morphological curves into the gallery. Aiming at the problem that it is difficult to obtain the optimal cultural and creative product design works in the cultural and creative product design based on shape grammar and using genetic algorithm to optimize the cultural and creative product design model. The optimization model of cultural and creative product design is empirically analyzed using simulation analysis based on research data and parameter settings. The results show that the scaling values (<italic>tx</italic><italic>d</italic>1, <italic>tx</italic><italic>d</italic>2) of the first layer in the optimal design parameters of the cultural and creative products are approximated to be the maximum value, and the optimal solutions in the samples are (3.61, 0.437) and (3.61, 0.268), respectively, which confirms that the optimization model of the cultural and creative product design can provide theoretical knowledge and reference value for the research of the cultural and creative product design.
</abstract>

In this paper, we use the inference rules and reasoning rules in the shape grammar to extract the elements of the cultural and creative product design, obtain the graphical elements of the cultural and creative product, import the determined graphical elements of the cultural and creative product of the inference object into Illustrator, use the pen tool to outline the morphological curves of the ornaments into paths, and at the same time organize the outlined morphological curves into the gallery. Aiming at the problem that it is difficult to obtain the optimal cultural and creative product design works in the cultural and creative product design based on shape grammar and using genetic algorithm to optimize the cultural and creative product design model. The optimization model of cultural and creative product design is empirically analyzed using simulation analysis based on research data and parameter settings. The results show that the scaling values (txd1, txd2) of the first layer in the optimal design parameters of the cultural and creative products are approximated to be the maximum value, and the optimal solutions in the samples are (3.61, 0.437) and (3.61, 0.268), respectively, which confirms that the optimization model of the cultural and creative product design can provide theoretical knowledge and reference value for the research of the cultural and creative product design.

Exploration of Cultural and Creative Product Design Thinking in the Age of Artificial Intelligence

HuangHuai University College of Art and Design

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In this paper, we use the inference rules and reasoning rules in the shape grammar to extract the elements of the cultural and creative product design, obtain...

Exploration of Cultural and Creative Product Design Thinking in the Age of Artificial Intelligence

Online veröffentlicht: 31. Jan. 2024

Seitenbereich: -

Eingereicht: 18. Dez. 2023

Akzeptiert: 27. Dez. 2023

DOI: https://doi.org/10.2478/amns-2024-0155

Schlüsselwörter
Shape grammar, Inference rule, Genetic Algorithm, Optimization model, Cultural and creative product design

© 2024 Shanlin Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Exploration of Cultural and Creative Product Design Thinking in the Age of Artificial Intelligence

Online veröffentlicht: 31. Jan. 2024

Seitenbereich: -

Eingereicht: 18. Dez. 2023

Akzeptiert: 27. Dez. 2023

DOI: https://doi.org/10.2478/amns-2024-0155

SchlüsselwörterShape grammar, Inference rule, Genetic Algorithm, Optimization model, Cultural and creative product design

© 2024 Shanlin Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Shape grammar, Inference rule, Genetic Algorithm, Optimization model, Cultural and creative product design