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Important Dates 

All deadlines are at the end of the specified day, Anywhere on Earth (AoE, UTC-12).
For queries related to submissions, please contact the PRIMA 2026 Program Chairs.
For responses to questions frequently asked by authors who wish to submit to PRIMA, a FAQ page will be posted here soon.

Areas of Interest

We welcome submissions on all aspects of MAS, including but not limited to:​

Foundations of MAS

  • Logic and Reasoning:

    • Logics of agency, belief, knowledge, and intention

    • Norms, obligations, and deontic logic

    • Argumentation theory

    • Reasoning under uncertainty

  • Collaboration & Coordination:

    • Multi-agent planning, teamwork, and coalition formation

    • Distributed problem-solving and optimization

    • Negotiation, trust and reputation, and commitments

    • Institutions, organizations, and normative systems

  • Algorithmic Game Theory:

    • Auctions and mechanism design

    • Cooperative games (theory, analysis, computation)

    • Noncooperative games (theory, analysis, computation)

    • Behavioral game theory

  • Computational Social Choice:

    • Voting theory and aggregation rules

    • Fair division and resource allocation

    • Matching theory (preference-based)

    • Participatory budgeting, communication, and distortion

Systems and Learning

  • Generative and Agentic AI:

    • Agents embodied with Large Language Models (LLMs)

    • LLM-based planning, reasoning, and agentic workflows

    • Coordination and cooperation of generative agents

    • Modeling and analysis of generative MAS

    • Verification, safety, and evaluation of agentic systems

  • Agent and Multi-Agent Learning:

    • Reinforcement learning (multi-agent, distributed)

    • Evolutionary approaches

    • Machine learning in MAS

    • Learning for value alignment

  • Engineering Multi-Agent Systems:

    • Agent-oriented software engineering

    • Interaction protocols, formal specification, and verification

    • Agent programming languages, middleware, and platforms

    • Testing, debugging, and deployed system case studies

  • Agent-Based Modeling and Simulation:

    • Simulation languages and platforms

    • Artificial societies and virtual environments

    • Modeling emergent behavior

    • System dynamics

    • Application case studies (e.g., economics, society, ecology)

Interaction and Society

  • Human-Agent Interaction:

    • Adaptive personal assistants

    • Embodied conversational agents

    • Virtual characters and multimodal user interfaces

    • Human-robot interaction

    • Affective computing

  • Decentralized Paradigms & Applications:

    • Cloud, edge, IoT, and cybersecurity

    • Robotics and multi-robot systems

    • Smart cities, transport, and logistics

    • Energy management

    • Healthcare, e-business, e-learning

    • Games and entertainment

    • Sustainability and resource management

  • Ethics, Society, and Governance:

    • Explainable AI (XAI) and agent transparency

    • Ethics, fairness, and accountability of AI systems

    • AI and Democracy (e.g., deliberation, opinion formation, countering misinformation)

    • Multi-agent systems for social good

    • Governance and regulation of agent societies

  • Full papers, 16 pages plus references

  • Short papers, 6 pages plus references

  • Poster papers, 3 pages plus references

Note: Papers submitted as Full Papers may be accepted as Short Papers or Poster Papers depending on the review results and the recommendations of the Program Committee.

Submission Types

PRIMA 2026 invites submissions of original, unpublished work in the field of multi-agent systems. Apart from theoretical work, we encourage the submission of reports on the development of applications or prototypes of deployed agent systems, and of experiments that demonstrate novel agent system capabilities. In addition to this, we also encourage the submission of position and review papers that are of particular relevance to the multi-agent community.

Information for Authors

All papers accepted must be presented at the conference to appear in the proceedings. At least one author must register for PRIMA 2026.

Presentation Requirement

All accepted papers will be published in Springer's Lecture Notes in Artificial Intelligence series (LNCS/LNAI).

Publication

Each submission will be reviewed by at least 2-3 experts based on its significance, novelty, technical quality, clarity, evaluation methodology, and ethical considerations. 

Review Process

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
Papers should be submitted via Microsoft CMT (http://cmt3.research.microsoft.com/prima2026).

For queries related to submissions, please contact the PRIMA 2026 Program Chairs: prima2026.pc@gmail.com.

Submission Portal

All submissions must be in English and adhere to the page limits specified above and follow the Springer LNCS format. Please note that registering an abstract of your paper (of around 100-300 words in plain text) is required one week before the paper submission deadline. 

All submitted papers (Full, Short, and Poster papers) must be prepared for double-blind review. To facilitate this, authors must omit their names and affiliations from the manuscript. While references should include all published literature relevant to the paper (including the authors' previous work), please avoid citing the authors' own unpublished works. When referencing your own published work, use the third person. For example, use "Previously, Foo and Bar [2] have shown that…" instead of "In our previous work [2], we have shown that…". Identifying information should be restored only in the final camera-ready version of accepted papers. Submissions that fail to meet these requirements will be rejected without further review.

Formatting and Submission Guidelines

The vision for PRIMA 2026 is to chart a path "Beyond Traditional MAS" by fusing the rigorous foundations of conventional Multi-Agent Systems with the flexibility, adaptability, and context-awareness of Generative and Agentic AI (GAAI). As advanced AI models proliferate, the MAS community is at a critical juncture. Research is shifting from static agent design to the engineering of "Next-Generation Agent Systems"—complex ecosystems where LLM-based agents, traditional MAS components, and humans effectively coexist. PRIMA 2026 invites contributions that explore these new AI-driven possibilities while advancing the foundational disciplines essential for building robust, reliable, and beneficial agent societies.

Scope and Background

Dates: December 14-17, 2026

Venue: Kumamoto, Japan

The 27th International Conference on Principles and Practice of Multi-Agent Systems

Kumamoto aerial view.jpg

CALL FOR PAPERS

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  • Submissions are confidential. Reviewers must not upload or enter any part of a submission into generative AI tools.

  • Reviews must reflect the reviewer's own expert judgment, with a human in the loop. If an AI tool was used to assist the evaluation in any way, this must be declared in the review report.

For reviewers:

​

  • LLMs and other AI tools do not satisfy authorship criteria and must not be listed as authors or co-authors; authorship carries accountability that cannot be attributed to an AI tool.

  • AI-assisted copy editing — improving human-written text for readability, style, grammar, spelling, and tone — does not need to be declared, but authors remain accountable for the final version. This does not extend to generative or autonomous content creation.

  • Any other substantive use of generative AI (e.g., in developing hypotheses or methodologies, or generating text or content) must be declared transparently in the paper, in the Methods, Introduction, or Acknowledgements. The use of AI for code generation in proofs-of-concept, demonstrations, and experiments is permissible with disclosure.

  • Authors are fully accountable for the accuracy, originality, and integrity of their work, including ensuring there is no plagiarism or fabrication, that all sources are properly cited, and that any AI-introduced bias is checked.

  • Generative AI images and other multimedia are generally not permitted for publication, except in the limited cases recognized by Springer (e.g., when generative AI is itself the topic of the paper), and must be clearly labelled as "AI-generated."

  • Authors should not include personal, sensitive, confidential, or copyrighted material in AI prompts.

  • Inappropriate use of AI may lead to desk rejection.

For authors:

The PRIMA 2026 proceedings will be published by Springer. This policy follows the Springer Nature AI guidance .

Policy on AI-Assisted Technologies

  • Abstract Submission Deadline: July 13, 2026
  • Abstract Submission Deadline (Extended):  Aug 3, 2026
  • Paper Submission Deadline: July 20, 2026
  • Paper Submission Deadline (Extended): Aug 3, 2026
  • Paper Notification: September 25, 2026
  • Camera Ready Submission: October 9, 2026
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