Can Current Methods in Knowledge Representation and Reasoning Make Robots Culturally Robust?

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the attempt to make robots culturally diverse, social robotics research is overwhelmed by cultural stereotypes. Many researchers introduce concepts such as Culturally Robust Robots to account for the dynamic and flexible nature of culture. These concepts are grounded on an implicit assumption: that current AI methods are epistemologically adequate to represent and reason about “culture”. This paper questions that assumption by looking at two knowledge representation and reasoning (KR&R) methods used in intelligent robotics; argue for the inadequacy of current methods; and call for a critical revision of the use of KR&R in social robotics.
Original languageEnglish
Title of host publicationCan Current Methods in Knowledge Representation and Reasoning Make Robots Culturally Robust?
Place of PublicationAmsterdam
Pages158 - 168
Number of pages11
Volume335
ISBN (Electronic)978-1-64368-155-9
DOIs
Publication statusPublished - 30 Dec 2020

Publication series

NameCulturally Sustainable Social Robotics - Proceedings of Robophilosophy 2020. Series Frontiers of AI and Its Applications
PublisherIOS press

Fingerprint

Dive into the research topics of 'Can Current Methods in Knowledge Representation and Reasoning Make Robots Culturally Robust?'. Together they form a unique fingerprint.

Cite this