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Explanatory AI for pertinent communication in autonomic systems

  • CNRS LTCI

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Résumé

Autonomic computing systems maintain high-level goals by continuously adapting to a changing environment, yet their internal operations have no comprehensible meaning to humans. This paper proposes a dialogue management system based on a communication interface acting as a bridge between subsymbolic and symbolic knowledge representation levels. The communication interface explains the autonomic system operation in a human comprehensible form by representing the sensed data in conceptual spaces. Based on a knowledge base generated by the communication interface, the dialogue management system produces a pertinent flow of conversation between autonomic systems and humans, activating only when exceptional situations are encountered. Our approach is incremental, with the objective of enabling pertinent communication with any artificial system. We build a proof-of-concept implementation of the proposed solution in a smart home platform managed by an autonomic system.

langue originaleAnglais
titreIntelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 1
rédacteurs en chefYaxin Bi, Rahul Bhatia, Supriya Kapoor
EditeurSpringer Verlag
Pages212-227
Nombre de pages16
ISBN (imprimé)9783030295158
Les DOIs
étatPublié - 1 janv. 2020
Modification externeOui
EvénementIntelligent Systems Conference, IntelliSys 2019 - London, Royaume-Uni
Durée: 5 sept. 20196 sept. 2019

Série de publications

NomAdvances in Intelligent Systems and Computing
Volume1037
ISSN (imprimé)2194-5357
ISSN (Electronique)2194-5365

Une conférence

Une conférenceIntelligent Systems Conference, IntelliSys 2019
Pays/TerritoireRoyaume-Uni
La villeLondon
période5/09/196/09/19

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