会议信息

COMPSAC 2026: International Computer Software and Applications Conference

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截稿日期:
2026-01-31
通知日期:
2026-04-01
会议日期:
2026-07-07
会议地点:
Madrid, Spain
届数:
50
CCF: C   CORE: B   QUALIS: A2   浏览: 155482   关注: 187   参加: 50

征稿

COMPSAC 2026 (International Computer Software and Applications Conference) is a CCF C / CORE B / QUALIS A2 conference held in Madrid, Spain on 2026-07-07. The paper submission deadline is 2026-01-31. Acceptance notifications are sent on 2026-04-01.

Overview The theme for COMPSAC 2026, Agentic AI: Innovative Software, Computing Paradigms, and Applications for Migrating from Reactive Models to Proactive Systems, highlights a crucial shift in artificial intelligence. Traditional AI has focused on generating information or responding to queries, but the next wave of AI development centers on proactive AI agents—systems that plan multi-step processes, make autonomous decisions, and learn from their interactions. These AI agents are not just theoretical constructs but are rapidly reshaping industries. Reports like Stanford’s AI Index 2025 indicate that AI agents now surpass humans in specialized tasks such as coding assistance and time-sensitive decision-making. Leading enterprises are embedding these systems into their workflows, demonstrating that agentic AI is transitioning from academic research to practical implementation—offering personalized services, accelerating response times, and enhancing operational efficiency. Balancing Innovation with Responsibility Developing AI agents requires more than just improving technical performance. Researchers must ensure that these systems are ethical, safe, and sustainable. As AI autonomy increases, mitigating risks and ensuring sound reasoning in high-stakes environments become paramount. Core Topics: COMPSAC 2026 will spotlight research on the evolution of reactive AI models into proactive systems through AI agents, covering topics such as: Blockchain Accessibility Rehab Engineering Autonomous decision-making & task planning Multi-agent coordination & communication Reinforcement learning & adaptive algorithms Tool usage & integration Explainability, transparency & trust Ethical, social & safety considerations Multimodal perception & interaction Human-agent collaboration & social interaction Robustness & scalability in real-world environments Authors are invited to submit original, unpublished research and industrial practice reports. Simultaneous submission to other venues is generally prohibited, except under COMPSAC 2026’s JC & CJ program. All submissions must adhere to IEEE Publishing Policies and will be vetted through the IEEE CrossCheck portal.
由 Dou Sun 最后更新于

录用率

平均录用率: 36.9% 6 年间 (1996–2006).

年份提交数录用数录用率(%)
20061835731.1%
20052897224.9%
20042618030.7%
200230011438%
20011708047.1%
19961477349.7%

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相关期刊

CCF全称影响因子出版商ISSN
CKnowledge-Based Systems7.2Elsevier0950-7051
CFuture Generation Computer Systems6.1Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
CIEEE Transactions on Industrial Informatics11.7IEEE1551-3203
CIEEE Internet of Things Journal8.9IEEE2327-4662
CEngineering Applications of Artificial Intelligence8.0Elsevier0952-1976
CExpert Systems with Applications7.5Elsevier0957-4174
CIEEE Transactions on Big Data5.7IEEE2332-7790
CIEEE Transactions on Cloud Computing5.0IEEE2168-7161

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