Moral reasoning under uncertainty

The Anh Han, Ari Saptawijaya, Luís Moniz Pereira

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

    25 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 - 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
    Abbreviated titleLPAR-18
    Country/TerritoryVenezuela, Bolivarian Republic of
    CityMerida
    Period11/03/1215/03/12

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