Complex Adaptive Systems Modeling is an interdisciplinary journal dedicated to advancing the understanding and modeling of complex adaptive systems. It provides a platform for researchers and practitioners to explore the behavior, dynamics, and emergent properties of systems that adapt and evolve over time.
This journal encompasses a wide range of topics, including but not limited to, agent-based modeling, network science, system dynamics, and computational approaches to studying complex systems. It welcomes contributions from diverse fields such as biology, ecology, social sciences, engineering, and computer science, highlighting the common principles that govern complex systems. Articles often address how interactions, feedback loops, and self-organization give rise to macroscopic patterns and behaviors.
The journal fosters advancements in theory, methodology, and applications. By publishing high-quality research, the journal enhances insights into the workings of complex systems and supports the development of innovative solutions for real-world challenges. It is aimed at academics, researchers, and industry professionals interested in the study and modeling of complex systems.