# DAI — International Conference on Distributed Artificial Intelligence

- **Submission deadline**: 2026-07-27
- **Notification date**: 2026-09-16
- **Conference date**: 2026-11-29
- **Location**: Hong Kong, China
- **Rankings**: CCF C
- **Conference Partner Index**: 57.5/100 (ranked #672, confidence 0.80, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 3
- **Attendees**: 0
- **Canonical page**: https://www.myhuiban.com/conference/4470

## Past editions

| Year | Deadline | Conference date | Location |
|---|---|---|---|
| 2025 | 2025-08-21 | 2025-11-21 | London, UK |
| 2024 | 2024-09-10 | 2024-12-18 | Singapore |
| 2023 | 2023-08-25 | 2023-11-30 | Singapore |
| 2022 | 2022-10-15 | 2022-12-15 | Tianjin, China |
| 2021 | 2021-09-30 | 2021-12-16 | Shanghai, China |
| 2020 | 2020-06-15 | 2020-10-24 | Nanjing, China |
| 2019 | 2019-06-12 | 2019-10-13 | Beijing, China |

## Call for papers

Scope and Topics of Interest Topics of interest include, but are not limited to, the following areas. Authors will be asked to select one or more relevant areas during submission. Agent Engineering & Infrastructure Agent frameworks, harnesses, and operating systems: LangGraph, AutoGen, CrewAI, Smolagents, OpenAI Agents SDK Memory architectures: long-term, short-term, episodic, factual, and experiential memory Skill acquisition and atomic skills Tool use: tool selection, grounding, and reliability Context engineering: context windows, compression, and selective retrieval Agent protocols: MCP, A2A, and interoperability standards AgentOps: observability, debugging, evaluation, and failure recovery Agent identity, reputation, and provenance Foundations of Agent Learning Reinforcement learning, multi-agent reinforcement learning, and cooperative or competitive learning Post-training for agents Self-play, curriculum, and open-ended learning Continual learning, meta-learning, and transfer Reward design and credit assignment Distributed, privacy-preserving, and collaborative learning Scaling laws and empirical theory of agent learning Self-Evolving & Self-Improving Agents Self-improvement and recursive self-modification Meta-reasoning and self-reflection Experience distillation: from trajectories to transferable knowledge Co-evolution of policies and critics Multi-agent evolutionary systems Gödel-style self-rewriting agents Benchmarks and evaluation for self-evolving systems Multi-Agent Cooperation & Human-Agent Interaction Cooperative multi-agent reinforcement learning, credit assignment, and teamwork Communication, language emergence, and negotiation LLM-based multi-agent orchestration Ad-hoc teamwork and zero-shot coordination Coalition formation and distributed problem solving Collective intelligence and swarm behavior Trust, explainability, and accountability AI agents as digital employees, collaborators, and competitors Human-agent and human-robot interaction Agent-based human interaction analysis Agents for enhancing human cooperation Game Theory, Economics & Agent Markets Algorithmic game theory and equilibrium computation Mechanism and market design, auctions, and social choice Strategic behavior of LLM agents and algorithmic collusion Machine-payable APIs and agent-to-agent transactions Contract theory and principal-agent models for AI Blockchain economics and decentralized systems Behavioral game models and bounded rationality Security games Embodied Multi-Agent Systems Multi-robot learning, coordination, and swarms Vision-Language-Action models for agent teams World models for multi-agent planning Sim-to-real transfer in multi-agent settings Heterogeneous embodied teams Safety layers and hardware-software co-design for physical agents Science of AI & AI for Science Science of AI Evaluation, benchmarking, and reproducibility of agent systems Interpretability of multi-agent LLM systems Emergent behavior, scaling laws, and phase transitions Failure modes, red-teaming, and safety evaluation Theoretical foundations of agentic AI AI for Science AI agents for scientific discovery AI agents in mathematics, physics, chemistry, biology, and materials Automated experiment design and execution Scientific literature understanding and hypothesis generation Human-agent collaborative research Agent-based simulation of societies Policy, governance, and alignment of agent collectives

## Related conferences

- Artificial Intelligence — International Conference on Automation and Artificial Intelligence — https://www.myhuiban.com/conference/3369
- ICC — International Conference on Communications — https://www.myhuiban.com/conference/318
- IJCNN — International Joint Conference on Neural Networks — https://www.myhuiban.com/conference/428
- TrustCom — International Conference on Trust, Security and Privacy in Computing and Communications — https://www.myhuiban.com/conference/1289
- ICONIP — International Conference on Neural Information Processing — https://www.myhuiban.com/conference/437

## Related journals

- Information Systems — https://www.myhuiban.com/journal/116
- Engineering Applications of Artificial Intelligence — https://www.myhuiban.com/journal/209
- Pattern Recognition — https://www.myhuiban.com/journal/198
- Information Sciences — https://www.myhuiban.com/journal/115
- Computer Communications — https://www.myhuiban.com/journal/42

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Source: Conference Partner — https://www.myhuiban.com/conference/4470 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)