The world around us is getting more complex by the minute, exacerbated by the ever-changing dynamic connectivity patterns of the network of actors, organizations, states, policies, technologies, and interventions. Simulating and modeling such networks using the complex adaptive systems and agent based modeling paradigms is critical to our ability to maintain, manage, sustain, evaluate, and improve systems. In this regard, system engineering, including manmade systems (types of air and space systems and civil systems), natural systems (environment and natural resources) and economic and social science systems, is an interdisciplinary approach and means to enable the realization of successful system development cycle. Innovation in system engineering includes the generation and implementation of concepts, the development of innovative techniques or solutions that help to improve, expand, or transform existing knowledge and methods, and usually lead to increased efficiency, effectiveness, and the ability to face complex issues or challenges. However, simple platforms available today allow for rapid prototyping, but are inadequate for developing and deploying professional class solutions. The tools of the future will enable the end user to design, implement, run, analyze, test, evaluate, validate, and visualize the system and its outcomes. Therefore, it is hoped that this journal will improve the state of the field of complex adaptive systems in a wide range of transdisciplinary topics at the international level and provide solutions for theoretical and practical issues facing this interdisciplinary and multifaceted topic.