mlsanityData to 7 Oct 2026

Progressive Ideation using an Agentic AI Framework for Human-AI Co-Creation

arXiv 2601.00475 ↗First posted 1 Jan 2026cs.AI cs.HCcited by 0

On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks

Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 5 of its 31 references that are in the map. First posted on arXiv 1 Jan 2026.

Builds on

5 of 31 references.

References · 5

  1. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  2. 2024The Effects of Generative AI on Design Fixation and Divergent Thinkingcited by 37
  3. 2024PersonaFlow: Designing LLM-Simulated Expert Perspectives for Enhanced Research Ideationcited by 16
  4. 2024A Novel Idea Generation Tool using a Structured Conversational AI (CAI) Systemcited by 4
  5. 2025The role of large language models in UI/UX design: A systematic literature reviewcited by 2

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  1. 2025Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems
  2. 2026Multi-agent AI systems outperform human teams in creativity
  3. 2026The Virtual Roundtable: Multi-Agent Personas Simulating the Dynamics of Human Brainstorming
  4. 2025Imagining Design Workflows in Agentic AI Futures
  5. 2025Agentic Workflows for Conversational Human-AI Interaction Design
  6. 2026On the Creativity of AI Agents
  7. 2025Frontend Diffusion: Empowering Self-Representation of Junior Researchers and Designers Through Multi-agent System
  8. 2026An Agent Model Abstraction for Human-AI Teaming Cognitive Coupling