用多智能体系统让AI辅助构建多元艺术史叙事
Sanyu Studio: A Multi-Agent System for Art-Historical Narrative Construction
- 321幅山水画作为智能体，具备事实、解释、组织与记忆过滤机制
- 8名参与者7天内生成了多版本一致且差异化的数字艺术史
- 适合对艺术史互动解读、跨学科人机协作感兴趣的读者
针对生成式AI可能使艺术解读趋于单一的担忧，本文探讨基于大模型的交互能否支持多元艺术史叙事构建。提出Sanyu Studio多智能体对话系统，将321幅山水画建模为具备事实、解释、组织与记忆过滤机制的智能体。基于八名艺术院校参与者的七日工作坊，研究发现用户提示、证据组织方式与认知倾向共同塑造出既多样又连贯的数字山水画叙事。结果表明，在历史证据有限的条件下，AI可增强人类主体性，并为公众提供参与艺术史阐释的互动入口。
原文摘要 · Abstract (English)
Amid concerns that generative AI may standardize art interpretation, this paper examines whether LLM-based interaction can support plural art-historical narrative construction. We present Sanyu Studio, a multi-agent dialogue system that models 321 Sanyu oil paintings as agents with fact, interpretation, organization, and memory-filtering mechanisms. Based on a seven-day workshop with eight art-university participants, the study shows that user prompts, evidence organization, and cognitive tendencies shaped divergent yet coherent versions of digital Sanyu. The findings suggest that, under conditions of limited historical evidence, AI can amplify human agency and offer public audiences an interactive entry point into art-historical interpretation.
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