For those who have received an email confirming paper or poster acceptance: We kindly ask that you proceed with the submission of your camera-ready paper (maximum 10 pages) or poster (A0, Portrait) at your earliest convenience.
Submission of camera-ready papers and posters are conducted online utilizing EasyChair Conference Services. An official full-paper template (Microsoft Word) and poster guidelines (Microsoft Powerpoint) are now available.
Abstract submission deadline: January 31, 2026
Abstract Acceptance Notice: February 10, 2026
Full paper submission deadline: March 10 March 24, 2026
Notification of acceptance: March 31 April 14, 2026
Camera-ready Paper submission deadline: May 18, 2026
Poster submission deadline: May 18, 2026
Conference dates: June 19–20, 2026
For those who have received an email confirming paper acceptance:
Accepted papers are planned to be published in Procedia Computer Science (Elsevier) as the conference proceedings (digital format). Please submit Microsoft Word file (.docx) for camera-ready paper (maximum 10 pages) at your earliest convenience. An official full-paper template (Microsoft Word) is now available.
For those who have received an email confirming poster acceptance:
Please prepare and submit your poster according to the poster guidelines.
All posters will be printed by the organizing committee at The University of Tokyo.
Please note that poster presentations will not be included in the conference proceedings.
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).
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.