AAIS 2025: The International Symposium on Agentic Artificial Intelligence Systems , November 25-28, 2025 •Vienna, Austria

[Shadi Alzubi]

[Apologies if you got multiple copies of this invitation]

The International Symposium on Agentic Artificial Intelligence Systems (AAIS 2025)

https://fllm-conference.org/2025/Workshops/AAIS2025/

Co-Located with

The 3rd International Conference on Foundation and Large Language Models (FLLM2025)

 

November 25-28, 2025 •Vienna, Austria

Technically Co-Sponsored by IEEE Austrian Section

 

AAIS 202​5 CFP:

 

The growth of Agentic AI marks a transformative increase in the evolution of intelligent systems, this varies from reactive models to proactive agents capable of autonomous reasoning, decision-making, and adaptive behavior. As these intelligent agents begin to saturate domains such as healthcare, robotics, education, finance, and scientific discovery, the urgency to explore their full potential has never been greater. AAIS 2025 invites high-quality, original submissions from academia, research institutions, industry, and government agencies that push the frontiers of agentic AI. We seek contributions that explore the design, implementation, evaluation, and governance of agentic systems with an emphasis on purposeful action, collaboration, and ethical alignment in dynamic, real-world settings. This symposium aims to become a premier venue for researchers, developers, and innovators building autonomous AI systems that do more than predict. Those intelligent systems can plan, act, learn, and evolve efficiently.

Authors are invited to submit their original work, which is not submitted elsewhere, to this Symposium. The accepted papers of the Symposium will be published by the IEEE Conference Publishing Services (CPS) and will be submitted for inclusion in the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. We invite the submission of original papers on all related topics related to AAIS, with special interest in but not limited to:

• Human-Agent Interaction and Social Intelligence
• Learning Paradigms for Agentic AI
• Applications and Domain-Specific Agents
• Simulation, Evaluation, and Benchmarking
• Agent Architectures and Cognitive Models
• Security, Regulation, and Governance
• Goal-Oriented Planning and Decision-Making
• Multi-Agent Systems and Emergent Intelligence
• Applications and trends

 

 Submissions Guidelines and Proceedings

Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 6 to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FLLM Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers.

Important Dates:

·       Submission Deadline: September 21, 2025

·       Decisions Announced: October 10, 2025

·       Camera Ready Deadline: October 25, 2025

 

Contact:

Please send any inquiry to: Shadi AlZu’bi  (smal...@zuj.edu.jo)