Connectionists: First CFP for JAAMAS Special Issue: When Foundation Models Meet Multi-Agent Systems
Surangika Ranathunga
surangika at cse.mrt.ac.lk
Thu Sep 18 17:45:11 EDT 2025
[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
<https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Flink.springer.com%2Fjournal%2F10458%2Fupdates%2F27805014&data=05%7C02%7Cs.ranathunga%40massey.ac.nz%7Cffad0b7127574a86106408ddf3f68267%7C388728e1bbd0437898dcf8682e644300%7C0%7C0%7C638934962318139755%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=rw2HO0WYwFmHw29hIp26kkm9dOZ8Iv21mG2BDqCdO6Q%3D&reserved=0>
*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-special-issue at 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
*Inquiries should be sent to* fm-mas-special-issue at googlegroups.com
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