会议信息
COMPSAC 2026: International Computer Software and Applications Conference
https://ieeecompsac.computer.org/2026/
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: 91228   关注: 182   参加: 49

征稿
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Authors are invited to submit original, unpublished research and industrial practice reports.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.
最后更新 Dou Sun 在 2025-09-13
录取率
时间提交数录取数录取率(%)
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
cNatural Language Engineering2.500Cambridge University Press1351-3249
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