World Conference on Complex Systems 2026

This proceedings volume provides a rigorous exploration of current research in complex systems and complexity science, featuring peer-reviewed contributions presented at the World Conference on Complex Systems (WCCS26). It highlights how computational modeling and transdisciplinary approaches can be used to understand and address the economic, social, political, and environmental challenges that characterize an increasingly interconnected world.

The volume brings together research on agent-based modeling, complex networks, artificial intelligence for complex systems, socio-ecological dynamics, urban and territorial modeling, collective behavior, and intelligent infrastructures. Rather than treating these topics as isolated technical developments, the book presents them as complementary frameworks for analyzing systems whose behavior emerges from interconnected and interdependent components. Many of today's most pressing challenges arise within such systems, where feedback loops, nonlinearity, and multi-scale interactions generate outcomes that cannot be easily predicted or explained through conventional approaches.

The contributions demonstrate how complexity science combines conceptual understanding with advanced computational methods to investigate these phenomena and support decision-making in uncertain and dynamic environments. A central theme throughout the volume is the relationship between theory and practice. The chapters present modeling frameworks, empirical studies, and hybrid computational approaches that translate fundamental concepts of complexity into practical tools and actionable insights.

By bringing together perspectives from computer science, systems engineering, economics, environmental studies, and the social sciences, the book creates a truly transdisciplinary platform for collaboration and knowledge exchange. Simulation and computational experimentation feature prominently as essential tools for investigating systemic risk, resilience, adaptation, and long-term sustainability.

This volume is intended for researchers, graduate students, and professionals working in complex systems, computational social science, artificial intelligence, sustainability studies, systems modeling, and interdisciplinary applied research. It offers both a comprehensive overview of current developments and valuable insights into the methods shaping the future of complexity science.