用AI双引擎模拟艺术演化路径，实现生成与批判的智能互动
Artism: AI-Driven Dual-Engine System for Art Generation and Critique
- 构建AIDA与Ismism Machine双系统，实现艺术生成与批判协同
- 通过多智能体协作模拟艺术史发展轨迹与创新模式
- 适合对艺术生成、计算美学感兴趣的跨学科研究者
本文提出一种基于AI双引擎的架构方法，解决艺术演进路径探索这一复杂问题。系统包含两个相互关联组件：人工艺术家社交网络AIDA，以及用于批判分析的Ismism Machine。核心创新在于利用深度学习与多智能体协作，实现艺术史发展与概念创新模式的多维度模拟。该框架推动艺术批评从传统单向模式转向智能、交互式的反思性实践。目前该方法已应用于当代艺术概念的实验研究中。本研究提出一种基于AI驱动批判循环的通用方法，为艺术的计算分析提供了新可能。
原文摘要 · Abstract (English)
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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