用分布式AI团队逐步生成新颖设计，提升人机协作创造力。
Progressive Ideation using an Agentic AI Framework for Human-AI Co-Creation
- 构建多个专用AI代理组成的协作系统，模拟人类元认知思考流程。
- 通过全局与局部新颖性评估，避免想法聚集，提升创意多样性。
- 适合初学者设计师和需要持续创新的工程设计场景。
真正新颖且多样的创意生成对现代工程设计至关重要，但对新手设计师而言仍是重大认知挑战。当前的‘单次爆发’式AI系统加剧了这一问题，产生大量语义相近的想法。我们提出MIDAS（基于分布式智能体系统的元认知创意生成框架），以分布式‘团队’取代单一AI，模拟人类元认知创意流程。该智能体系统逐步优化想法，并分别评估其全局新颖性（相对于已有方案）与局部新颖性（相对于先前生成的想法）。MIDAS因此展示了一种可行且渐进的人机协同创作范式，将人类设计师从被动筛选者转变为积极、参与式的合作者。
原文摘要 · Abstract (English)
The generation of truly novel and diverse ideas is important for contemporary engineering design, yet it remains a significant cognitive challenge for novice designers. Current 'single-spurt' AI systems exacerbate this challenge by producing a high volume of semantically clustered ideas. We propose MIDAS (Meta-cognitive Ideation through Distributed Agentic AI System), a novel framework that replaces the single-AI paradigm with a distributed 'team' of specialized AI agents designed to emulate the human meta-cognitive ideation workflow. This agentic system progressively refines ideas and assesses each one for both global novelty (against existing solutions) and local novelty (against previously generated ideas). MIDAS, therefore, demonstrates a viable and progressive paradigm for true human-AI co-creation, elevating the human designer from a passive filterer to a participatory, active, collaborative partner.
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