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Autoren:
Strenzke, Ruben 
Dokumenttyp:
Dissertation / Thesis 
Titel:
Cooperation of Human and Artificial Intelligence on the Planning and Execution of Manned-Unmanned Teaming Missions in the Military Helicopter Domain 
Untertitel:
Concept, Requirements, Design, Validation 
Betreuer:
Schulte, Axel, Univ.-Prof. Dr.-Ing. 
Gutachter:
Schulte, Axel, Univ.-Prof. Dr.-Ing.; Platts, Jon, Prof. 
Tag der mündlichen Prüfung:
14.05.2019 
Publikationsdatum:
20.01.2020 
Jahr:
2019 
Sprache:
Englisch 
Schlagwörter:
Drohne ; Operation ; Planung ; Künstliche Intelligenz ; Mensch-Maschine-System ; Hochschulschrift 
Stichwörter:
Manned-unmanned Teaming, Human-Machine Collaboration, Mixed-Initiative Planning, Assistant System, UAV operator, Mission Planning, Automated Planning, PDDL 
Abstract:
This dissertation provides arguments in favor of the cooperation of human operators and an Artificial Intelligence (A.I.) based software on the in-flight planning and the execution of joint manned and unmanned military helicopter missions. Furthermore, it presents requirements concerning the design and performance of such an A.I. based cooperative software. In order to build the argumentation, a brief insight on the different cognitive advantages of the human and A.I. in general is given. After...    »
 
DDC-Notation:
629.1326 
Fakultät:
Fakultät für Luft- und Raumfahrttechnik 
Institut:
LRT 13 - Institut für Flugsysteme 
Professur:
Schulte, Axel 
Open Access ja oder nein?:
Ja / Yes