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DAI 2026: International Conference on Distributed Artificial Intelligence

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DAI
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투고 마감일:
2026-07-27
통보일:
2026-09-16
개최일:
2026-11-29
개최지:
Hong Kong, China
개최 횟수:
CCF: C   조회: 12742   팔로우: 3   참가: 0

회반 지수 (CP-I)

57.5 / 100
전체 5,647개 중 672위 · 상위 12%

인공지능·기계학습 분야 734개 중 55위

학술적 인정 (35%)
66
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
59
커뮤니티 관심도 (10%)
43
공개 자료 충실도 (15%)
55

사용한 입력: 수록 등급: CCF C · 확인되는 개최 횟수: 8 · 회반에서 팔로우 중인 연구자: 3명 · 지난 24개월 동안 이 페이지를 연 연구자: 52명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 최우수 논문 기록 (+2.3)
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신뢰도 80% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-03

논문 모집

DAI 2026 (International Conference on Distributed Artificial Intelligence) is a CCF C conference held in Hong Kong, China on 2026-11-29. The paper submission deadline is 2026-07-27. Acceptance notifications are sent on 2026-09-16.

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
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관련 학회

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
BInformation Systems3.4Elsevier0306-4379
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
BPattern Recognition7.6Elsevier0031-3203
BInformation Sciences6.0Elsevier0020-0255
CComputer Communications4.3Elsevier0140-3664
BCybersecurity3.7Springer2523-3246
CNeurocomputing6.5Elsevier0925-2312
BWorld Wide Web3.4Springer1386-145X
CDiscover Computing1.9Springer2948-2992
CFuture Generation Computer Systems5.9Elsevier0167-739X

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