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Call for Papers
Call for Papers
For those who have received an email confirming abstract acceptance: We kindly ask that you proceed with the submission of your full paper (maximum 10 pages) at your earliest convenience. Submission of full papers are conducted online utilizing EasyChair Conference Services. An official full-paper template (Microsoft Word) is now available.
Important Dates (updated)
Important Dates (updated)
Abstract submission deadline: January 31, 2026
Abstract Acceptance Notice: February 10, 2026
Full paper submission deadline: March 10, 2026
Notification of acceptance: March 31, 2026
Conference dates: June 19–20, 2026
Accepted papers are planned to be published in Procedia Computer Science (Elsevier) as the conference proceedings (digital format).
An official full-paper template (Microsoft Word) is now available.
For those who have received an email confirming abstract acceptance:
We kindly ask that you proceed with the submission of your full paper (maximum 10 pages) at your earliest convenience.
All submitted full papers will undergo a review process. Based on the review results, selected papers will be assigned to oral presentations and included in the conference proceedings. Papers that are not selected for oral presentation may be assigned to a poster session; however, poster presentations will not be included in the proceedings.
Authors who prefer to present their work as a poster from the outset (without submitting a full paper) are requested to consult the Steering Committee in advance. For inquiries, please contact Takuya Nakashima (nakashima [at] edu.k.u-tokyo.ac.jp).
Please note that at least one author must register for the conference and present the paper in person. In-person participation is mandatory for oral/poster presentations. Please note that there is no option for online participation (in-person only).
Topics of Interest
Topics of Interest
We invite original research contributions that examine these principles and their role in shaping complex adaptive systems. We are particularly interested in work that addresses:
Adaptive learning and decision making: Individual and collective learning under dynamic and uncertain conditions, including social learning and distributed decision-making
Emergence and self-organization: Mechanisms in sociotechnical and engineering systems that give rise to global behavior from the interactions of its parts (micro-macro patterns of behavior) without centralized control
Agent-based simulation and modeling: Approaches beyond LLM-driven agent frameworks and traditional multi-agent systems, including hybrid modeling techniques
Sociotechnical Integration: Integration of adaptive systems within sociotechnical contexts including human, organizational, and societal structures
Methodological advances: Novel frameworks for that converge knowledge, analysis, modeling and simulation across spatial and temporal scales to support decision making, analysis of emergent phenomena and adaptive dynamics
Applications: Real world system domain studies that explore these principles such as autonomous systems, smart city infrastructure and disaster management.
CAS 2026 CFP V6.pdf
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