Metagnostic Deductive Question Answering with Explanation from Texts

Kontos, John; Armaos, Joseph; Malagardi, Ioanna

doi:10.1007/978-3-642-21657-2_8

Cited by 1 publication

(2 citation statements)

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“…The development of the proposal of the present paper can be based on methods of Artificial Consciousness and Natural language Generation. Such methods were presented in [5], [6], [7] and [8] by the author and his team offering enhancement of the friendliness of user humansystem interfaces. Recent systems such as those described in [9], [10], [11], [12], [13] and [14] lack such functionalities and may benefit from the leveraging of the techniques described in the present paper making the task of the supervising user much safer and easier.…”

Section: Discussionmentioning

confidence: 99%

“…The relational representation facilitates the automatic reasoning that may be needed in order to generate complex explanations of the actions proposed by the autonomous anti-drone system to its supervising user. Such relational reasoning is easily programmed with AI programming languages like PROLOG as shown by the author and his team in [5], [6], [7] and [8].…”

Section: System Nature Relations (Snr)mentioning

confidence: 99%

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Human-System Interface with Explanation of Actions for Autonomous Anti-UAV Systems

Kontos¹

2021

IJAIA

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Research on explanation is currently of intense interest as documented in the DARPA 2021 investments reported by the USA Department of Defense. An emerging theme for explanation techniques research is their application to the improvement of human-system interfaces for autonomous anti-drone or C-UAV defense systems. In the present paper a novel proposal based on natural language processing technology concerning explanatory discourse using relations is briefly described. The proposal is based on the use of relations pertaining to the possible malicious actions of an intruding alien drone swarm and the defense decisions proposed by an autonomous anti-drone system. The aim of such an interface is to facilitate the supervision that a user must exercise on an autonomous defense system in order to minimize the risk of wrong mitigation actions and unnecessary spending of ammunition.

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