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Issue title: Goal Reasoning
Guest editors: Mark Roberts, Daniel Borrajo, Michael Cox and Neil Yorke-Smith
Article type: Research Article
Authors: Wilson, Mark A.a; * | McMahon, Jamesb | Wolek, Arturb | Aha, David W.a | Houston, Brian H.b
Affiliations: [a] Navy Center for Applied Research in AI (Code 5510), Naval Research Laboratory, Washington, DC, USA. E-mails: mark.wilson@nrl.navy.mil, david.aha@nrl.navy.mil | [b] Physical Acoustics Branch (Code 7130), Naval Research Laboratory, Washington, DC, USA. E-mails: james.mcmahon@nrl.navy.mil, artur.wolek.ctr@nrl.navy.mil, brian.houston@nrl.navy.mil
Correspondence: [*] Corresponding author. E-mail: mark.wilson@nrl.navy.mil.
Abstract: We describe preliminary work toward applying a goal reasoning agent for controlling an underwater vehicle in a partially observable, dynamic environment. In initial at-sea tests, our investigation focuses on a notional scenario wherein an autonomous underwater vehicle pursuing a survey goal unexpectedly detects the presence of a potentially hostile surface vessel. Our tests suggest that Goal-Driven Autonomy, a model of goal reasoning, can successfully reason about this scenario using only the limited computational resources typically available on underwater robotic platforms.
Keywords: Artificial intelligence, goal reasoning, goal-driven autonomy, underwater vehicle, AUV
DOI: 10.3233/AIC-180755
Journal: AI Communications, vol. 31, no. 2, pp. 151-166, 2018
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