会议信息

ACSOS 2026: International Conference on Autonomic Computing and Self-Organizing Systems

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ACSOS
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截稿日期:
2026-04-10
通知日期:
2026-06-15
会议日期:
2026-09-07
会议地点:
Cesena, Italy
届数:
7
浏览: 19647   关注: 1   参加: 0

会伴指数 (CP-I)

45.7 / 100
全站第 2,658 名 / 共 5,682 个会议 · 前 47%

系统与体系结构 第 216 / 341

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
56
社区关注 (10%)
17
资料公开度 (15%)
35

用到的输入: 有据可查的届次：7 · 在会伴关注它的研究者：1 人 · 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-20

征稿

ACSOS 2026 (International Conference on Autonomic Computing and Self-Organizing Systems) is an academic conference held in Cesena, Italy on 2026-09-07. The paper submission deadline is 2026-04-10. Acceptance notifications are sent on 2026-06-15.

The IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) is the premier venue for advancing research in autonomic computing, self-adaptation, and self-organization. The conference serves as a synergistic forum for interdisciplinary collaboration, bridging academic and industrial perspectives across domains such as artificial intelligence, computational biology, and computer systems. ACSOS features a diverse program, including research papers, experience reports, posters, demonstrations, and a doctoral symposium, fostering innovation and knowledge exchange. ACSOS 2026 invites submissions on theoretical aspects, modeling, design, implementation, evaluation, verification, and practical applications of autonomic, self-adaptive, self-organizing, and multi-agent systems, algorithms, and techniques. This includes, but is not limited to, the following areas: Models and Algorithms: bio-inspired and socially inspired paradigms and heuristics; collective behavior of decentralized agents and systems; swarm intelligence; evolution and learning; organic computing; requirement and goal expression techniques; formal expressions of uncertainty; agent-based modeling to help understand existing systems; digital twins. Theoretical aspects: theoretical frameworks; formal languages; game theory; queuing and control theory; symbolic knowledge representation. Systems properties: performance; robustness; resilience, dependability, and reliability; trustworthiness; resource and energy efficiency; stability; diversity; self-protection and cybersecurity; self-reference and reflection; emergent behavior; explainability; interpretability; computational awareness and self-awareness. Engineering aspects: design patterns; programming languages; architectures; operating systems and middleware; testing, validation, and assurance methodologies; runtime models; large-scale, decentralized, and multi-agent systems; data science and analytics; machine learning and artificial intelligence; LLMs and agentic AI systems; communication and intelligent routing; distributed learning, including federated learning; multi-agent infrastructures. Cross-disciplinary methods: approaches inspired by complex systems, chemistry, psychology, sociology, biology, and ethology. Socio-technical factors: human and social factors; visualization; crowdsourcing and collective awareness; guardrails and legal or regulatory compliance in self-* techniques; trust, ethics, privacy, sustainability, and social and environmental implications. Applications: papers across all application domains are welcome, including (but not limited to) enterprise systems, cyber-physical systems, smart agriculture, robot swarms, federated LLMs, manufacturing, autonomous vehicles, smart environments, disaster response, smart traffic management, datacenter infrastructure, resource management and scheduling, smart grids, scientific computing, virtual reality, and human–machine interaction.
由 Dou Sun 最后更新于

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