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