Contribution to collective works (Parts of books)
Machine Argumentation. Can We Replace Taxi Drivers by Robots?
Gabbay, Dov M.; Cramer, Marcos; Dauphin, Jérémie et al.
2019In Natural Argument, A tribute to John Woods
Peer reviewed
 

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Abstract :
[en] We need ethical non-monotonic action logics to control machines which interact heavily with humans. Such logics face special problems and require features which we need to recognise and to address. We believe that injecting argumentation methods into action pre-conditions is possibly the way to proceed to model what is needed. To get an idea of what is needed we must investigate a typical problem of replacing a human with a robot operating in a highly interactive environment. This paper focuses on replacing a human taxi driver by a robot. Robot driven cars are already under production and so there is an urgent need for modelling the kind of Artificial Intelligence/Logic/Norms/Ethics which is to be involved and installed in the mind of the Robot. This is research in progress.
Disciplines :
Computer science
Author, co-author :
Gabbay, Dov M. ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Cramer, Marcos
Dauphin, Jérémie ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Farjami, Ali ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Rivlin, Lydia
van der Torre, Leon ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
yes
Language :
English
Title :
Machine Argumentation. Can We Replace Taxi Drivers by Robots?
Publication date :
2019
Main work title :
Natural Argument, A tribute to John Woods
Publisher :
College Publications
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 01 March 2020

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