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

Fuente: arXiv
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Hauptverfasser: B, Sankar, Girish, Srinidhi Ranjini, Bharti, Aadya, Sen, Dibakar
Format: Preprint
Veröffentlicht: 2026
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author B, Sankar
Girish, Srinidhi Ranjini
Bharti, Aadya
Sen, Dibakar
author_facet B, Sankar
Girish, Srinidhi Ranjini
Bharti, Aadya
Sen, Dibakar
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2601_00475
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Progressive Ideation using an Agentic AI Framework for Human-AI Co-Creation
B, Sankar
Girish, Srinidhi Ranjini
Bharti, Aadya
Sen, Dibakar
Artificial Intelligence
Human-Computer Interaction
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.
title Progressive Ideation using an Agentic AI Framework for Human-AI Co-Creation
topic Artificial Intelligence
Human-Computer Interaction
url https://arxiv.org/abs/2601.00475