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Scope and Background

The organizing committee of PRIMA 2026 (The 27th International Conference on Principles and Practice of Multi-Agent Systems) invites proposals for tutorials to be held in conjunction with the conference, taking place on December 14–17, 2026 in Kumamoto, Japan.

PRIMA 2026 aims to chart a path “Beyond Traditional MAS”, integrating the rigorous foundations of multi-agent systems with emerging paradigms in Generative and Agentic AI. As AI systems evolve toward autonomous, goal-directed behavior in dynamic environments, there is a growing need for educational resources that bridge classical MAS theory and next-generation agent systems.

The tutorial program is intended to provide high-quality, accessible, and forward-looking educational content for researchers, practitioners, and students. We welcome tutorials that combine theoretical foundations with practical insights and emerging trends.

Objectives of Tutorials

Tutorials should serve one or more of the following objectives:

  • Present emerging topics at the intersection of MAS and Agentic AI, including LLM-based agents, autonomous workflows, and tool-augmented systems

  • Survey the state of the art in multi-agent systems, agentic system design, and evaluation

  • Introduce foundational methods such as reasoning, planning, decision-making, negotiation, and learning

  • Explore the integration of classical MAS with generative and adaptive AI systems

  • Examine ethical, societal, and governance challenges in autonomous and decentralized systems

  • Provide hands-on or systematic instruction on tools, frameworks, and platforms for building agent-based systems

Dates: December 14-17, 2026

Venue: Kumamoto, Japan

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

Kumamoto aerial view.jpg

TUTORIAL PROPOSAL

Topics of Interest

We particularly encourage proposals on agentic AI and related areas, including but not limited to:

Tutorial proposals should be no more than three pages (excluding references and presenter CVs) and must include:

  • Title of the tutorial

  • Names, affiliations, and contact information of all presenters

  • Keywords

  • Tutorial duration (half-day or full-day)

  • A short abstract (for the conference website and promotional materials)

  • Detailed outline of tutorial content

  • Target audience and prerequisite knowledge

  • Expected learning outcomes

  • Relevance to IEEE ICA 2026 and the agentic AI community

  • Previous teaching or tutorial experience of the presenters (if any)

  • Supporting materials (e.g., slides, publications, or prior tutorial recordings)

Submission Guidelines

Evaluation Criteria

Proposals will be evaluated based on:

  • Relevance to PRIMA 2026 and the MAS community

  • Technical quality and clarity

  • Timeliness and importance of the topic

  • Expected audience interest

  • Presenter expertise and experience

Responsibilities

The conference organizers will:

  • Provide publicity and visibility on the conference website

  • Arrange the venue and associated logistics

  • Coordinate scheduling with tutorial presenters

 

Presenters are expected to:

  • Prepare and deliver the tutorial at the conference

  • Provide materials (slides, code, datasets, etc.) prior to the conference

Proposals should be submitted as a single PDF file to prima2026.tutorial@gmail.com.

Submission Procedure

Shun Okuhara, Mie University 

Shiyao Ding, Kyoto University

Tutorial Chairs

Important Dates

  • Tutorial Proposal Submission Deadline: July 8, 2026

  •  Notification of Acceptance: July 15, 2026  

  • Tutorial Information Deadline (Title, Abstract, Presenters, Website): August 15, 2026  

All deadlines are 23:59 Anywhere on Earth (AoE).

Foundations of Multi-Agent Systems— Core Focus

  • Logic and reasoning in MAS

  • Multi-agent coordination, cooperation, and negotiation

  • Algorithmic game theory and computational social choice

  • Normative systems, trust, and governance

Agentic and Generative AI

  • LLM-based agents and hybrid architectures

  • Autonomous pipelines and agent orchestration

  • Long-horizon planning and goal-directed behavior

  • Evaluation, robustness, safety, and alignment of agentic systems

  • Memory, reflection, and self-improvement in agents

Systems and Learning

  • Multi-agent learning and reinforcement learning

  • Agent engineering and system design

  • Agent-based modeling and simulation

Interaction and Society

  • Human-agent interaction and mixed-initiative systems

  • Decentralized applications and real-world deployments

  • Ethics, society, and governance of agent systems

Applications

  • Healthcare, education, finance, and smart cities

  • IoT, robotics, and distributed agent systems

  • Collective intelligence and social computing

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