[CFP] The 7th International Conference on Distributed Artificial Intelligence (DAI 2025)

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Roxana Rădulescu

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Jul 11, 2025, 2:19:30 AM7/11/25
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Call for Papers: The Seventh International Conference on Distributed Artificial Intelligence (DAI 2025)

London, United Kingdom

21-24 November 2025

https://www.adai.ai/dai/2025/

Scope

DAI 2025 aims to bring together researchers and practitioners in related areas (e.g., general AI, multi-agent systems, distributed learning, computational game theory) to provide a high-profile, internationally renowned forum for research in the theory and practice of distributed AI. The seventh DAI conference will be held in London, UK, with in-person participation only, except for extenuating circumstances such as visa issues. 

In addition to regular paper submissions, we will also invite a selection of accepted papers from sister conferences (e.g., AAMAS, AAAI, IJCAI, EC, KDD, ICLR, ICML, NeurIPS) to present at DAI 2025. The program will also include high-quality keynotes, workshops, tutorials, and industry sessions.

Information for Authors

DAI 2025 encourages the submission of theoretical, empirical, and perspective papers. Submissions should clearly explain the significance and relevance of their results to the DAI community. Each paper should contain a rigorous theoretical and/or an empirical evaluation, as well as relate to the existing literature. All submissions will be peer reviewed and evaluated for originality, soundness, relevance, significance, quality of presentation, and understanding of the state of the art.

  • Submission Deadline: August 11, 2025 (23:59 UTC-12)

  • Notification Date: September 8, 2025 (23:59 UTC-12)

  • Submission Site: To be announced

  • Paper Length: Max 8 pages (excluding references); unlimited appendix after bibliography (optional reading for reviewers)

  • Review Process: Double-blind 

Topics of Interest

The conference solicits papers addressing original research on distributed artificial intelligence. Topics of interest include (but are not limited to) the following:

Agent Cooperation:

  • Biologically-inspired approaches

  • Collective intelligence

  • Distributed problem solving

  • Teamwork and team formation

  • Coalition formation (non-strategic)

  • Multi-robot systems

  • Federated learning

  • Distributed learning systems

Humans and Agents:

  • Human-agent/robot interaction

  • Multi-user and multi-agent systems

  • Agents competing with humans

  • Agent-based human interaction analysis

  • Agents for enhancing human cooperation

Single/Multi-agent Learning:

  • Reward structure design

  • Multi-agent learning

  • Reinforcement learning

  • Deep learning

  • Adversarial machine learning

Computational Game Theory:

  • Algorithmic complexity for games

  • Practical algorithms for games

  • Behavioural game models

  • Security games

Economics and Computation:

  • Auctions and mechanism design

  • Market design

  • Social choice theory

  • Applied game theory

  • Blockchain economics

Organising committee

        General Chairs:

        Matthew E. Taylor (University of Alberta)

        Long Tran-Thanh (University of Warwick)


        PC Chairs:

        Yali Du (King’s College London)

        Sebastian Stein (University of Southampton)


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