Artism: AI-Driven Dual-Engine System for Art Generation and Critique
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866909967847522304 |
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| author | Liu, Shuai Tian, Yiqing Chen, Yang Sola, Mar Canet |
| author_facet | Liu, Shuai Tian, Yiqing Chen, Yang Sola, Mar Canet |
| contents | This paper proposes a dual-engine AI architectural method designed to address the complex problem of exploring potential trajectories in the evolution of art. We present two interconnected components: AIDA (an artificial artist social network) and the Ismism Machine, a system for critical analysis. The core innovation lies in leveraging deep learning and multi-agent collaboration to enable multidimensional simulations of art historical developments and conceptual innovation patterns. The framework explores a shift from traditional unidirectional critique toward an intelligent, interactive mode of reflexive practice. We are currently applying this method in experimental studies on contemporary art concepts. This study introduces a general methodology based on AI-driven critical loops, offering new possibilities for computational analysis of art. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_15710 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Artism: AI-Driven Dual-Engine System for Art Generation and Critique Liu, Shuai Tian, Yiqing Chen, Yang Sola, Mar Canet Artificial Intelligence This paper proposes a dual-engine AI architectural method designed to address the complex problem of exploring potential trajectories in the evolution of art. We present two interconnected components: AIDA (an artificial artist social network) and the Ismism Machine, a system for critical analysis. The core innovation lies in leveraging deep learning and multi-agent collaboration to enable multidimensional simulations of art historical developments and conceptual innovation patterns. The framework explores a shift from traditional unidirectional critique toward an intelligent, interactive mode of reflexive practice. We are currently applying this method in experimental studies on contemporary art concepts. This study introduces a general methodology based on AI-driven critical loops, offering new possibilities for computational analysis of art. |
| title | Artism: AI-Driven Dual-Engine System for Art Generation and Critique |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2512.15710 |