Persona-based Multi-Agent Collaboration for Brainstorming
Fuente:
arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866909952709230592 |
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| author | Straub, Nate Khan, Saara Jay, Katharina Cabral, Brian Linde, Oskar |
| author_facet | Straub, Nate Khan, Saara Jay, Katharina Cabral, Brian Linde, Oskar |
| contents | We demonstrate the importance of persona-based multi-agents brainstorming for both diverse topics and subject matter ideation. Prior work has shown that generalized multi-agent collaboration often provides better reasoning than a single agent alone. In this paper, we propose and develop a framework for persona-based agent selection, showing how persona domain curation can improve brainstorming outcomes. Using multiple experimental setups, we evaluate brainstorming outputs across different persona pairings (e.g., Doctor vs VR Engineer) and A2A (agent-to-agent) dynamics (separate, together, separate-then-together). Our results show that (1) persona choice shapes idea domains, (2) collaboration mode shifts diversity of idea generation, and (3) multi-agent persona-driven brainstorming produces idea depth and cross-domain coverage. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_04488 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Persona-based Multi-Agent Collaboration for Brainstorming Straub, Nate Khan, Saara Jay, Katharina Cabral, Brian Linde, Oskar Artificial Intelligence Human-Computer Interaction We demonstrate the importance of persona-based multi-agents brainstorming for both diverse topics and subject matter ideation. Prior work has shown that generalized multi-agent collaboration often provides better reasoning than a single agent alone. In this paper, we propose and develop a framework for persona-based agent selection, showing how persona domain curation can improve brainstorming outcomes. Using multiple experimental setups, we evaluate brainstorming outputs across different persona pairings (e.g., Doctor vs VR Engineer) and A2A (agent-to-agent) dynamics (separate, together, separate-then-together). Our results show that (1) persona choice shapes idea domains, (2) collaboration mode shifts diversity of idea generation, and (3) multi-agent persona-driven brainstorming produces idea depth and cross-domain coverage. |
| title | Persona-based Multi-Agent Collaboration for Brainstorming |
| topic | Artificial Intelligence Human-Computer Interaction |
| url | https://arxiv.org/abs/2512.04488 |