Artism: AI-Driven Dual-Engine System for Art Generation and Critique
- URL: http://arxiv.org/abs/2512.15710v1
- Date: Wed, 17 Dec 2025 18:58:42 GMT
- Title: Artism: AI-Driven Dual-Engine System for Art Generation and Critique
- Authors: Shuai Liu, Yiqing Tian, Yang Chen, Mar Canet Sola,
- Abstract summary: We present two interconnected components: AIDA (an artificial artist social network) and the Ismism Machine, a system for critical analysis.<n>The framework explores a shift from traditional unidirectional critique toward an intelligent, interactive mode of reflexive practice.
- Score: 7.209828820174739
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: 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.
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