About this ebook
It systematically discusses two primary approaches to cooperative decision-making mechanisms: limited human intervention and cognitive intelligent interaction. The authors introduce modeling methods for applying limited intervention in typical mission scenarios, such as obstacle avoidance, threat mitigation, and attack decision-making. They also explain how to assess human workload and cognitive load in manned-unmanned operations. Additionally, it outlines interactive cognitive models that support situational awareness, threat evaluation, task allocation, route planning, and decision simulation. These insights address the growing need for effective human-machine collaboration in complex operational environments driven by rapid advancements in information science, control science, cognitive science, and artificial intelligence.
This title will appeal to researchers, engineers, and professionals specializing in command-and-control systems and intelligent decision-making systems. It will also serve as an essential reference for students and educators in information-related disciplines.
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About the author
Jun Chen is a professor at the School of Electronics and Information, Northwestern Polytechnical University, China. His research focuses on modeling and practical applications in intelligent decision-making for complex autonomous systems, command-and-control systems, and human-machine interaction, with a strong record of academic publications in these fields.
Xinyu Zhang is an associate professor at the School of Electronics and Information, Northwestern Polytechnical University, China. Her research interests span AI, data science, data mining, human-machine interaction, and deep learning applications, fields in which she has published a series of papers.
Yan Tong is currently pursuing a doctoral degree at the School of Electronics and Information Technology, Northwestern Polytechnical University, China. His research focuses on modeling collaborative decision-making between manned and unmanned systems using knowledge- and data-driven fuzzy cognitive maps.
