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  1.  17
    Ecumenical Expressivism and the Frege-Geach Problem.Alexander Miller & Kirk Surgener - 2019 - Belgrade Philosophical Annual 32:7-25.
    A background assumption of much of 20th century and recent metaethics and moral psychology is that moral judgements either express beliefs rather than desire-like attitudes or express desire-like attitudes rather than beliefs. In a recent series of papers and а monograph, Michael Ridge seeks to reject this assumption, and thereby to steer the focus of metaethical debate away from the Frege-Geach problem. In particular, Ridge claims that we can formulate “ecumenical” views on which moral judgements express both beliefs and desire-like (...)
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  2.  54
    Internalism and the Frege-Geach Problem.Caj Strandberg - 2019 - Belgrade Philosophical Annual 32:68-91.
    According to the established understanding of the Frege-Geach problem, it is a challenge exclusively for metaethical expressivism. In this paper, I argue that it is much wider in scope: The problem applies generally to views according to which moral sentences express moral judgments entailing that one is for or against something, irrespective of what mental states the judgments consist in. In particular, it applies to motivational internalism about moral judgments. Most noteworthy, it applies to cognitivist internalism according to which moral (...)
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  3. Artificial Morality: Making of the Artificial Moral Agents.Petar Nurkić & Marija Kušić - 2019 - Belgrade Philosophical Annual 1 (32):27-49.
    Abstract: Artificial Morality is a new, emerging interdisciplinary field that centres around the idea of creating artificial moral agents, or AMAs, by implementing moral competence in artificial systems. AMAs are ought to be autonomous agents capable of socially correct judgements and ethically functional behaviour. This request for moral machines comes from the changes in everyday practice, where artificial systems are being frequently used in a variety of situations from home help and elderly care purposes to banking and court algorithms. It (...)
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