Call for Papers: DAI 2025

The Seventh International Conference on Distributed Artificial Intelligence

London, United Kingdom

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. 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 or empirical evaluation, and relate to existing AI 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.

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
  • Behavioral game models
  • Security games

    • Economics and Computation:

  • Auctions and mechanism design
  • Market design
  • Social choice theory
  • Applied game theory
  • Blockchain economics

    • Policies

    Policy on Multiple and Previous Submissions

    Submissions must not have appeared in an archival venue. Simultaneous submissions to other archival venues are not allowed during the DAI 2025 review period.

    Policy on Publication

    Accepted papers will appear in ICPS proceedings and will be widely indexed.

    Important note to authors about the new ACM open access publishing model

    ACM has introduced a new open access publishing model for the International Conference Proceedings Series (ICPS). Authors based at institutions that are not yet part of the ACM Open program and do not qualify for a waiver will be required to pay an article processing charge (APC) to publish their ICPS article in the ACM Digital Library. To determine whether or not an APC will be applicable to your article, please follow the detailed guidance here: https://www.acm.org/publications/icps/author-guidance.

    Further information may be found on the ACM website, as follows:

  • Full details of the new ICPS publishing model: https://www.acm.org/publications/icps/faq
  • Full details of the ACM Open program: https://www.acm.org/publications/openaccess

    • Please direct all questions about the new model to [email protected].


    All questions about submissions should be emailed to Yali Du ([email protected]), Sebastian Stein ([email protected]).