CAS2026: Complex Adaptive Systems 2026 The University of Tokyo Tokyo, Japan, June 19-20, 2026 |
| Conference website | https://www.cas2026.org |
| Submission link | https://easychair.org/conferences/?conf=cas2026 |
| Abstract registration deadline | January 31, 2026 |
| Submission deadline | March 10, 2026 |
Complex Adaptive Systems Conference 2026
Adaptive Futures: Theoretical Foundations and Emerging Practices in Complex Adaptive Systems
Dates: June 19–20, 2026
Venue: The University of Tokyo, Hongo Campus, Tokyo, Japan
Conference Overview
The Complex Adaptive Systems (CAS) Conference was founded and organized by Missouri University of Science and Technology in 2011, pushing research boundaries over the last thirteen years. In 2025 the conference was held at MIT in Cambridge, MA USA. (https://sites.mit.edu/cas2025/)
In 2026, CAS will take place for the first time in Asia, hosted at The University of Tokyo. CAS 2026 Tokyo will emphasize theoretical depth, academic rigor, and cross-disciplinary dialogue, strengthening the academic foundations of Systems Engineering and Complex Systems Science. It will serve as a forum dedicated to theory, modeling, and the fundamental understanding of adaptive and emergent behavior in complex systems.
Conference Theme
Adaptive Futures: Theoretical Foundations and Emerging Practices in Complex Adaptive Systems
Systems today are in a constant state of flux driven by disruptive technologies such as AI and interdependent social, political, environmental changes. Understanding how systems evolve, respond to uncertainty, and exhibit intelligent behavior requires exploring the fundamental principles of complex adaptive systems: adaptability, emergence, and self-organization.
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.
Call for Authentic Work – to ensure academic integrity, the conference will strengthen measures for detecting AI-generated content in submissions.
Important Dates (updated)
Abstract submission deadline: January 10 January 31, 2026
Abstract Acceptance Notice: January 20 February 10, 2026
Full paper deadline: March 1 March 10, 2026
Notification of acceptance: March 23 March 31, 2026
Conference dates: June 19–20, 2026
- Please note that there will be no further extension of the submission deadline.
- Accepted papers are planned to be published in Procedia Computer Science (Elsevier) as the conference proceedings (digital format).
- Each paper must be presented in person by at least one of the authors to be included in the proceedings.
- Accepted abstracts are generally eligible for presentation; however, during the full paper review process, some submissions may be assigned to a poster session rather than an oral presentation.
- Registration will open shortly. Please note that there is no option for online participation (in-person only).
Organizers
Founding Chair
Cihan Dagli, Missouri University of Science & Technology
Conference Chair
Nil Ergin, The Pennsylvania State University / Takuya Nakashima, The University of Tokyo
Organizing Committee
Kazuhiro Aoyama, The University of Tokyo / Amro Farid, Stevens Institute of Technology / Kazuo Hiekata, The University of Tokyo / Bryan Moser, Massachusetts Institute of Technology / Joshua Sutherland, Sutherland Systems Engineering Enterprise / Ryota Wada, The University of Tokyo / Gioele Zardini, Massachusetts Institute of Technology
Honorary Advisor
Mika Sato-Ilic, University of Tsukuba
Topics of Interest
Topics relevant to advances in theory and methods for complex adaptive systems are in scope. Topics of interest include but are not limited to the following:
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Adaptability Theory and Methods
Complex System, Systems of Systems
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Systems Domain Studies Mechanical Systems
Computational Systems
Urban Systems
Biological Systems and Human Factors
Natural Ecosystems
Services Systems
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