Conference Information

DAI 2023: Distributed Artificial Intelligence

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Submission Date:
2023-08-25
Notification Date:
2023-10-05
Conference Date:
2023-11-30
Location:
Singapore
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Call For Papers

DAI 2023 (Distributed Artificial Intelligence) is an academic conference held in Singapore on 2023-11-30. The paper submission deadline is 2023-08-25. Acceptance notifications are sent on 2023-10-05.

Scope The aim of the Distributed AI (DAI) seeks 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 Fifth DAI conference will be located in Singapore and have a pure format of offline in-person participation. Except for regular paper submissions, we will also invite some accepted papers from sister conferences (e.g., AAMAS, AAAI, IJCAI, EC, KDD, ICLR, ICML, NeurIPS) to present at the conference. Besides the accepted paper sessions, we will also have high quality keynotes, workshops, tutorials and industry sessions. 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 and methods Collective intelligence Distributed problem solving Teamwork, team formation, teamwork analysis Coalition formation (non-strategic) Multi-robot systems Federated learning Distributed learning systems Humans and Agents: Human-robot/agent interaction Multi-user/multi-virtual-agent interaction Agents competing against humans Agent-based analysis of human interactions Agents for improving human cooperative activities Single/Multi-agent Learning: Reward structures for learning Multi-agent learning Reinforcement learning Deep learning Adversarial machine learning Robot learning Computational Game Theory: Complexity of algorithms for games Practical algorithms for games Behavioral models of games Security games Economics and Computation: Auctions and mechanism design Market design and applications Social choice theory Game theory for practical applications Economics of blockchain systems
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