Xiaobo Li

This book introduces a cutting-edge hybrid modeling framework that integrates both knowledge-based and data-driven techniques to tackle the challenges faced by the simulation of intelligent combat systems. Simulation has long been the primary method for evaluating the effectiveness of combat systems, often through the creation of virtual test environments. However, the increasing complexity and dynamic nature of modern battlefield environments present significant challenges for traditional simulation modeling techniques. Combat Simulation offers readers valuable insights into the latest advancements in simulation and data engineering to overcome these challenges in the modeling of complex combat systems. Covering a wide range of topics, from ontological modeling to dynamic data modeling, this book addresses the ongoing digital transformation of combat systems. It serves as a comprehensive guide to real-world applications in the field. Intended for graduate students, researchers, and professional engineers in simulation, systems, and computer engineering, this book equips readers with the tools to teach, apply, and innovate in simulation-based defense technologies.