Moral reasoning under uncertainty

The Anh Han, Ari Saptawijaya, Luís Moniz Pereira

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

30 Citations (Scopus)

Abstract

We present a Logic Programming framework for moral reasoning under uncertainty. It is enacted by a coherent combination of our two previously implemented systems, Evolution Prospection for decision making, and P-log for probabilistic inference. It allows computing available moral judgments via distinct kinds of prior and post preferences. In introducing various aspects of uncertainty into cases of classical trolley problem moral dilemmas, we show how they may appropriately influence moral judgments, allowing decision makers to opt for different choices, and for these to be externally appraised, even when subject to incomplete evidence, as in courts.

Original languageEnglish
Title of host publicationLogic for Programming, Artificial Intelligence, and Reasoning - 18th International Conference, LPAR-18, Proceedings
Pages212-227
Number of pages16
DOIs
Publication statusPublished - 21 Mar 2012
Event18th International Conference on Logic for Programming, Artificial Intelligence, and Reasoning, LPAR-18 - Merida, Venezuela, Bolivarian Republic of
Duration: 11 Mar 201215 Mar 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7180 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Logic for Programming, Artificial Intelligence, and Reasoning, LPAR-18
CountryVenezuela, Bolivarian Republic of
CityMerida
Period11/03/1215/03/12

Keywords

  • Evolution Prospection
  • Logic Programming
  • Moral Reasoning
  • P-log
  • Uncertainty Reasoning

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