It is argued that creative co-creation calls instead for user-orchestrated Human–Multi-Agent Teams (HMATs), teams in which humans participate alongside multiple agents while retaining the ability to keep the team aligned with the evolving purposes of the work.
It is argued that design for safe and effective teamwork must consider how human and software roles together manage, change, and coordinate their collective configuration over time to respond to changing work demands.
M. Ijtsma, Salvatore Hargis· The AI Magazine· 0 citations
Requirements engineering is a critical yet labor-intensive phase in software development, particularly for complex systems where stakeholder needs are diverse, evolving, and often ambiguous. Traditional approaches struggle with scalability, consistency, and completeness when dealing with large-scale requirements. This...
Ming-Hao Li, Chong-Shuang Hu, Han Liu et al.· 2026 12th International Conf...· 0 citations
In open-ended problem solving, collaborators often rely on discussion to surface concerns, challenge perspectives, and refine shared work as it evolves. While AI agents are increasingly used as discussion partners, existing multi-agent systems place a heavy burden on users to initiate and carefully orchestrate the disc...
Heechan Lee, Juhyeon Choi, Tae Soo Kim et al.· 0 citations
SAIGE, a lightweight multi-agent collaboration mechanism based on Semantic-Aware Incremental Graph Evolution, is proposed, suggesting that multi-agent superiority is bounded by task structure rather than universal, and that more agents do not necessarily make a system more intelligent.
Yizhen Yuan, Yi-Bo Wu, Yi-Han Zhang et al.· 0 citations
This work introduces SAGE (Self-Adapting Group of Experts), a training-free framework that uses answer agreement, prefix consistency, and reciprocal peer review to select a strategy donor and transfers the selected donor's reasoning strategy to the other agents while preserving their original roles.
Mohammad Atif Quamar, Nurbek Tastan, Karthik Nandakumar et al.· 0 citations
It is suggested that the benefit of the agentic framework lies primarily in interaction quality rather than conversational efficiency, and the agentic architecture displayed robustness by recovering from non-normative inputs while maintaining strict goal alignment.
Morten Roed Frederiksen· 2 citations
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