Integrating Operators' Preferences into Decisions of Unmanned Aerial Vehicles: Multi-layer Decision Engine and Incremental Preference Elicitation

• Published in: Algorithmic Decision Theory Vol. 11834; pp. 49 - 64
• Main Authors: Khannoussi, Arwa, Olteanu, Alexandru-Liviu, Labreuche, Christophe, Narayan, Pritesh, Dezan, Catherine, Diguet, Jean-Philippe, Petit-Frère, Jacques, Meyer, Patrick
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2019; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Autonomous UAV; Incremental preference elicitation; Multi-Criteria Decision Aiding; Multi-layer decision engine; Operator’s preferences; Traceable decisions
• ISBN: 9783030314880; 303031488X
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-030-31489-7_4

Due to the nature of autonomous Unmanned Aerial Vehicles (UAV) missions, it is important that the decisions of a UAV stay consistent with the priorities of an operator, while at the same time allowing them to be easily audited and explained. We therefore propose a multi-layer decision engine that follows the logic of an operator and integrates its preferences through a Multi-Criteria Decision Aiding model. We also propose an incremental approach to elicit the operator’s preferences, in view of minimizing his/her cognitive fatigue during this task.