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The altruistic robot : Do what i want, not just what i say

Billingsley, Richard ; Billingsley, John ; Gärdenfors, Peter LU ; Peppas, Pavlos ; Prade, Henri ; Skillicorn, David and Williams, Mary Anne (2017) In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10564 LNAI. p.149-162
Abstract

As autonomous robots expand their application beyond research labs and production lines, they must work in more flexible and less well defined environments. To escape the requirement for exhaustive instruction and stipulated preference ordering, a robot’s operation must involve choices between alternative actions, guided by goals. We describe a robot that learns these goals from humans by considering the timeliness and context of instructions and rewards as evidence of the contours and gradients of an unknown human utility function. In turn, this underlies a choice-theory based rational preference relationship. We examine how the timing of requests, and contexts in which they arise, can lead to actions that pre-empt requests using... (More)

As autonomous robots expand their application beyond research labs and production lines, they must work in more flexible and less well defined environments. To escape the requirement for exhaustive instruction and stipulated preference ordering, a robot’s operation must involve choices between alternative actions, guided by goals. We describe a robot that learns these goals from humans by considering the timeliness and context of instructions and rewards as evidence of the contours and gradients of an unknown human utility function. In turn, this underlies a choice-theory based rational preference relationship. We examine how the timing of requests, and contexts in which they arise, can lead to actions that pre-empt requests using methods we term contemporaneous entropy learning and context sensitive learning. We provide experiments on these two methods to demonstrate their usefulness in guiding a robot’s actions.

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Please use this url to cite or link to this publication:
author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Scalable Uncertainty Management - 11th International Conference, SUM 2017. Proceedings
series title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
editor
Moral, Serafin ; Sanchez, Daniel ; Marin, Nicolas ; Pivert, Olivier ; ; ; and
volume
10564 LNAI
pages
149 - 162
publisher
Springer
external identifiers
  • scopus:85030864522
ISSN
0302-9743
1611-3349
ISBN
9783319675817
978-3-319-67582-4
DOI
10.1007/978-3-319-67582-4_11
language
English
LU publication?
no
id
fd5545f5-07ea-45ac-b465-d6286e5106a0
date added to LUP
2019-06-12 16:37:28
date last changed
2019-11-25 09:31:25
@inproceedings{fd5545f5-07ea-45ac-b465-d6286e5106a0,
  abstract     = {<p>As autonomous robots expand their application beyond research labs and production lines, they must work in more flexible and less well defined environments. To escape the requirement for exhaustive instruction and stipulated preference ordering, a robot’s operation must involve choices between alternative actions, guided by goals. We describe a robot that learns these goals from humans by considering the timeliness and context of instructions and rewards as evidence of the contours and gradients of an unknown human utility function. In turn, this underlies a choice-theory based rational preference relationship. We examine how the timing of requests, and contexts in which they arise, can lead to actions that pre-empt requests using methods we term contemporaneous entropy learning and context sensitive learning. We provide experiments on these two methods to demonstrate their usefulness in guiding a robot’s actions.</p>},
  author       = {Billingsley, Richard and Billingsley, John and Gärdenfors, Peter and Peppas, Pavlos and Prade, Henri and Skillicorn, David and Williams, Mary Anne},
  booktitle    = {Scalable Uncertainty Management - 11th International Conference, SUM 2017. Proceedings},
  editor       = {Moral, Serafin and Sanchez, Daniel and Marin, Nicolas and Pivert, Olivier},
  isbn         = {9783319675817},
  issn         = {0302-9743},
  language     = {eng},
  month        = {01},
  pages        = {149--162},
  publisher    = {Springer},
  series       = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  title        = {The altruistic robot : Do what i want, not just what i say},
  url          = {http://dx.doi.org/10.1007/978-3-319-67582-4_11},
  doi          = {10.1007/978-3-319-67582-4_11},
  volume       = {10564 LNAI},
  year         = {2017},
}