Cooperative Decision-Making Modeling for Manned and Unmanned Aerial Vehicles
暫譯: 載人及無人航空器的協作決策模型
Chen, Jun, Zhang, Xinyu, Tong, Yan
- 出版商: CRC
- 出版日期: 2026-08-03
- 售價: $4,010
- 貴賓價: 9.5 折 $3,809
- 語言: 英文
- 頁數: 266
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041341792
- ISBN-13: 9781041341796
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相關分類:
Reinforcement
尚未上市，無法訂購
商品描述
Focusing on "human-in-the-loop" and "human-on-the-loop" mechanisms, cognitive intelligent interaction, and the practical modeling, implementation, and application of limited human intervention in modern aerial systems, this book explores cooperative decision-making technologies between manned and unmanned aerial vehicles.
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.
商品描述(中文翻譯)
本書專注於「人類在迴路中」（human-in-the-loop）和「人類在迴路上」（human-on-the-loop）機制、認知智能互動，以及在現代空中系統中有限人為干預的實際建模、實施和應用，探討載人與無人航空器之間的合作決策技術。
本書系統性地討論了合作決策機制的兩種主要方法：有限人為干預和認知智能互動。作者介紹了在典型任務場景中應用有限干預的建模方法，例如避障、威脅緩解和攻擊決策。他們還解釋了如何評估載人與無人操作中的人類工作負荷和認知負荷。此外，本書概述了支持情境感知、威脅評估、任務分配、路徑規劃和決策模擬的互動認知模型。這些見解針對快速發展的信息科學、控制科學、認知科學和人工智能所驅動的複雜操作環境中對有效人機協作日益增長的需求。
本書將吸引專注於指揮與控制系統及智能決策系統的研究人員、工程師和專業人士。它也將成為信息相關學科學生和教育工作者的重要參考資料。
作者簡介
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.
作者簡介(中文翻譯)
陳俊是中國西北工業大學電子與信息學院的教授。他的研究專注於複雜自主系統、指揮與控制系統以及人機互動中的智能決策建模和實際應用，並在這些領域擁有豐富的學術出版紀錄。
張欣宇是中國西北工業大學電子與信息學院的副教授。她的研究興趣涵蓋人工智慧、數據科學、數據挖掘、人機互動以及深度學習應用，並在這些領域發表了一系列論文。
唐燕目前在中國西北工業大學電子與信息技術學院攻讀博士學位。他的研究專注於使用知識和數據驅動的模糊認知圖建模載人和無人系統之間的協作決策。
