Research on AIGC Empowering Regional Cultural and Creative Symbol Classification and Art Design Scheme Generation

Main Article Content

Y. Tu

Abstract

The deep integration of cultural development and the digital economy has made regional cultural and creative industries an important carrier for traditional culture transformation and creative design innovation. As the core material of cultural and creative design, the excavation, classification, and transformation of regional cultural symbols directly affect the cultural connotation and market value of creative products. Current regional cultural and creative design faces problems such as scattered symbol systems, inefficient manual classification, homogenized design innovation, weak integration between culture and design, and insufficient digital transformation capability. This paper proposes an AIGC-enabled framework for regional cultural and creative symbol classification and art design scheme generation. Based on semiotics and design theory, a multidimensional quantitative indicator system for regional cultural symbols is constructed. A CNN-ViT fusion model is used for fine-grained symbol classification, and a Cultural-AIGC generation model integrates cultural constraints and visual style parameters to generate design schemes. The study provides a technical path for intelligent classification, controllable generation, and digital transformation of regional cultural symbols.

Downloads

Download data is not yet available.

Article Details

How to Cite
Tu, Y. (2026). Research on AIGC Empowering Regional Cultural and Creative Symbol Classification and Art Design Scheme Generation. Advanced Electromagnetics, 15(3), 7017–7026. https://doi.org/10.7716/aem.v15i3.3783
Section
Research Articles

References

B. S. Hakim, M. Adil, A. Velasquez, et al., “Neuro-symbolic agentic AI: Architectures, integration patterns, applications, open challenges and future research directions,” Computer Science Review, vol. 60, pp. 100902-100902, 2026, doi: 10.1016/j.cosrev.2026.100902.

View Article

P. Goswami, A. Iqbal, and K. Choi, “Robust Stochastic Power Allocation for Industrial IoT Federated Learning with Neurosymbolic AI,” Mathematics, vol. 14, no. 3, pp. 547-547, 2026, doi: 10.3390/math14030547.

View Article

S. Said, “S-A I-EDU: A BIO-INSPIRED AND MODULAR SPARSE AI ARCHITECTURE FOR ADAPTIVE AND SYMBOLIC INTELLIGENT EDUCATIONAL SYSTEMS,” International Journal of Artificial Intelligence & Applications, vol. 17, no. 1, pp. 21-40, 2026, doi: 10.5121/ijaia.2026.17102.

View Article

A. Castagnone and G. Nitti, “A Neuro-Symbolic Framework for Ensuring Deterministic Reliability in AI-Assisted Structural Engineering: The SYNAPSE Architecture,” Buildings, vol. 16, no. 3, pp. 534-534, 2026, doi: 10.3390/buildings16030534.

View Article

Y. Qian, Q. Bao, S. Zhang, et al., “A cultural memory semiotics and function behavior structure model for digital inheritance and innovation in AI generated Huizhou woodcarving images,” Scientific reports, vol. 16, no. 1, pp. 5520-5520, 2026, doi: 10.1038/s41598-026-35360-5.

View Article

L. Luo, K. Wang, and Y. Zheng, “Emojis as catalysts: How AI agents leverage emojis to enhance customer engagement across the pre-core and core service stages,” Journal of Retailing and Consumer Services, vol. 89, no. PB, pp. 104635-104635, 2026, doi: 10.1016/j.jretconser.2025.104635.

View Article

M. Boero and R. Piccolo, “Marketing Semiotics Research: Consumption Trends, AI, and the Economics of Experience,” IGI Global Scientific Publishing; 2025, doi: 10.4018/979-8-3693-8024-6.

View Article

L. Floridi, “Correction to: A Conjecture on a Fundamental Trade-Off Between Certainty and Scope in Symbolic and Generative AI,” Philosophy & Technology, vol. 38, no. 4, pp. 133-133, 2025, doi: 10.1007/s13347-025-00968-4.

View Article

P. Bruno, F. Calimeri, F. Cauteruccio, et al., “Towards Neurosymbolic AI: Hybrid Models for Coupling Deductive and Inductive Reasoning, Special Issue Featuring Extended Papers from HYDRA 2024,” Intelligenza Artificiale, vol. 19, no. 2, pp. 83-84, 2025, doi: 10.1177/17248035251364905.

View Article

X. Li, A. D. Turner, and B. Liu, “AI as Sub-Symbolic Systems: Understanding the Role of AI in Higher Education Governance,” Education Sciences, vol. 15, no. 7, pp. 866-866, 2025, doi: 10.3390/educsci15070866.

View Article

L. Floridi, “A Conjecture on a Fundamental Trade-Off Between Certainty and Scope in Symbolic and Generative AI,” Philosophy & Technology, vol. 38, no. 3, pp. 93-93, 2025, doi: 10.1007/s13347-025-00927-z.

View Article

B. Liang, Y. Wang, and C. Tong, “AI Reasoning in Deep Learning Era: From Symbolic AI to Neural-Symbolic AI,” Mathematics, vol. 13, no. 11, pp. 1707-1707, 2025, doi: 10.3390/math13111707.

View Article

H. Pascal, D. Abhilekha, M. M. Saeid, et al., “Handbook on Neurosymbolic AI and Knowledge Graphs,” IOS Press; 2025, doi: 10.3233/FAIA400.

View Article

W. Mei and M. Nong, “Admire you, become you: exploring the role of coworker’s AI symbolization in motivating employee AI usage behavior,” Current Psychology, vol. 43, no. 41, pp. 1-11, 2024, doi: 10.1007/s12144-024-06786-9.

View Article

S. Liu and X. Liang, “AI-generated popular culture: A semiotic perspective By Marcel Danesi, Cham: Palgrave Macmillan,” 2024. pp. 199. £100.99 (hbk). The Journal of Popular Culture, vol. 58, no. 1-2, pp. 41-42, 2024, doi: 10.1111/jpcu.13390.

View Article

S. Angelo, A. Mehwish, O. Femke, et al., “Knowledge Graphs in the Age of Language Models and Neuro-Symbolic AI,” IOS Press; 2024, doi: 10.3233/SSW60.

View Article

S. Manninger, “Signs, Signals and Signifiers: The Doghouse and the Semiotics of AI,” Architectural Design, vol. 94, no. 3, pp. 70-77, 2024, doi: 10.1002/ad.3057.

View Article

K. A. Goel, “Looking back, looking ahead: Symbolic versus connectionist AI,” AI Magazine, vol. 42, no. 4, pp. 83-85, 2021, doi: 10.1609/aaai.12026.

View Article

L. Grace, “Does AI need symbols?,” ITNOW, vol. 63, no. 2, pp. 56-57, 2021, doi: 10.1093/itnow/bwab059.

View Article

V. N. A. J. B. A. Castro and O. G., “Living systems are smarter bots: Slime mold semiosis versus AI symbol manipulation,” Biosystems, vol. 206, 104430, 2021, doi: 10.1016/j.biosystems.2021.104430.

View Article

Similar Articles

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 > >> 

You may also start an advanced similarity search for this article.