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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: Karneeb, Justina; * | Floyd, Michael W.a | Moore, Philipa | Aha, David W.b
Affiliations: [a] Knexus Research Corporation, Springfield, VA, USA. E-mails: [email protected], [email protected] | [b] Navy Center for Applied Research in AI, Naval Research Laboratory (Code 5514), Washington, DC, USA. E-mail: [email protected]
Correspondence: [*] Corresponding author. E-mail: [email protected].
Abstract: We describe an extension of the Tactical Battle Manager, which uses goal reasoning techniques to control unmanned air vehicles in simulated scenarios of beyond-visual-range air combat. Our prior work with the Tactical Battle Manager focused primarily on behavior recognition, the task of identifying the behaviors being performed by hostile aircraft. In this article, we instead focus on distributed discrepancy detection and response. We also describe an ablation study for which we report evidence that these discrepancy management components improve mission success.
Keywords: Goal reasoning, discrepancy detection, air combat
DOI: 10.3233/AIC-180757
Journal: AI Communications, vol. 31, no. 2, pp. 181-195, 2018
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