Moral Coppélia - Combining ratio with affect in ethical reasoning

Matthijs A. Pontier, Guy Widdershoven, Johannes Ferdinand Hoorn

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

9 Citations (Scopus)

Abstract

We present an integration of rational moral reasoning with emotional intelligence. The moral reasoning system alone could not simulate the different human reactions to the Trolley dilemma and the Footbridge dilemma. However, the combined system can simulate these human moral decision making processes. The introduction of affect in rational ethics is important when robots communicate with humans in a practical context that includes moral relations and decisions. Moreover, the combination of ratio and affect may be useful for applications in which human moral decision making behavior is simulated, for example, when agent systems or robots provide healthcare support.
Original languageEnglish
Title of host publicationAdvances in Artificial Intelligence, IBERAMIA 2012 - 13th Ibero-American Conference on AI, Proceedings
PublisherSpringer Verlag
Pages442-451
Number of pages10
ISBN (Print)9783642346538
DOIs
Publication statusPublished - 1 Jan 2012
Externally publishedYes
Event13th Ibero-American Conference on Advancesin Artificial Intelligence, IBERAMIA 2012 - Cartagena de Indias, Colombia
Duration: 13 Nov 201216 Nov 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7637 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th Ibero-American Conference on Advancesin Artificial Intelligence, IBERAMIA 2012
CountryColombia
CityCartagena de Indias
Period13/11/1216/11/12

Keywords

  • Cognitive modeling
  • Cognitive robotics
  • Emotion modeling
  • Emotional computing
  • Machine ethics
  • Moral reasoning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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