First CFP for JAAMAS Special Issue: When Foundation Models Meet Multi-Agent Systems
Surangika Ranathunga
[Apologies if you got multiple copies of this invitation]
First CFP for JAAMAS Special Issue: When Foundation Models Meet Multi-Agent Systems
Deadline: February 28, 2026
CFP link: https://link.springer.com/journal/10458/updates/27805014
Call for Papers
The recent advancements in foundation models (FMs), including Large Language Models and multimodal models, mark a significant milestone in the field of Artificial Intelligence. Their capabilities in language understanding, generation and reasoning open new avenues for addressing long-standing challenges in Multi-Agent Systems (MASs). Conversely, the theories, concepts, methodologies of MASs hold the potential to further enhance FM capabilities, enabling multi-agent collaboration to solve complex tasks beyond single-agent limits. However, integrating FMs into MASs introduces new challenges such as managing the risks of hallucinations, bias, unfair decisions and behaviour that is not aligned with norms and ethical principles.
This special issue delves into the intersection of FMs and MASs. We invite researchers from across the AI community to explore this exciting frontier. Topics of interest include, but are not limited to:
- 1) FMs as solutions to MASs: How can FMs help address coordination, cooperation, optimization, and learning within MASs? How can they enhance the modelling and simulation of societies within MAS frameworks? How can they expand the application of game theory and mechanism design, and enable novel MAS applications?
- 2) MASs as solutions to FMs: How can theories, concepts, architectures and methodologies of agents, MASs, and game theory contribute to improving FM capabilities, particularly in planning, reasoning, and decision-making? How can MASs help mitigate issues, like hallucination and bias, within FMs, and improve accountability and transparency of FMs?
- 3) Societal implications: What are the potential societal impacts of combining FMs with MAS technology? How can these impacts be rigorously assessed, and what strategies can mitigate negative outcomes?
Authors are encouraged to submit original research papers, survey papers and viewpoint papers that discuss an ongoing trend or spark interest in new ideas or areas.
It is strongly encouraged that papers focus on the synergy between FMs and MASs. Papers related to recent LLM developments based on agent concepts (e.g. on “Agentic AI”) are expected to make explicit connections to existing theory and practice in MASs. A cover letter explicitly stating how the paper makes connections with prior work on autonomous agents and multi-agent systems is required during the formal submission process.
The Guest Editors can be contacted (at fm-mas-spe...@googlegroups.com) for pre-submission inquiries (including brief descriptions—no full paper required) to assess whether a manuscript is a good fit for this special issue.
Timeline
February 28, 2026: Submission deadline
May 31, 2026: First round review notification
July 31, 2026: Revised manuscript deadline
August 30, 2026: Final decision notification
Guest Editors
Stephen Cranefield, University of Otago, New Zealand
Shuyue Hu, Shanghai Artificial Intelligence Lab, China
Bastin Tony Roy Savarimuthu, University of Otago, New Zealand
Surangika Ranathunga, Massey University, New Zealand