Multi-Agent Collaboration: Exploring Problem Solving In Groups Of Large Language Model Agents

Felix Knop, Patrick Hendriks and Timo Sturm

Publications of Darmstadt Technical University, Institute for Business Studies (BWL) from Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL)

Abstract: Artificial Intelligence is reshaping how organizations and societies approach decision-making. Similar to human teams, organizations increasingly turn to groups of LLM-based agents that collaborate on complex problems. Using interaction process analysis, we analyze the collaborative dynamics of LLM agents in a group problem-solving setting and compare them to human groups. We find that LLM agents can work together effectively, resembling human decision-making and collective intelligence at first sight. However, distinct differences emerge: agents who solicit opinions from peers trigger rapid agreement, bypassing the critical elaboration phase typically found in human group interactions. This “affirmation-first” dynamic steers consensus and bears functional resemblance to process losses documented in human groups, yet operates through distinct interactional mechanisms rather than interpersonal pressure. Interactions among agents further lack important emotional and social cues typical of human collaboration. Our study contributes to research revisiting group problem-solving in LLM contexts and provides important managerial guidance for organizations.

Date: 2026-06
Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/160338/
References: Add references at CitEc
Citations:

Published in European Conference on Information Systems Proceedings . 3 (2026-06) : pp. 1-18

Downloads: (external link)
https://aisel.aisnet.org/ecis2026/platforms/platforms/2

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dar:wpaper:160338

Access Statistics for this paper

More papers in Publications of Darmstadt Technical University, Institute for Business Studies (BWL) from Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL) Contact information at EDIRC.
Bibliographic data for series maintained by Dekanatssekretariat ().