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  1. Moral Gridworlds: A Theoretical Proposal for Modeling Artificial Moral Cognition.Julia Haas - 2020 - Minds and Machines 30 (2):219-246.
    I describe a suite of reinforcement learning environments in which artificial agents learn to value and respond to moral content and contexts. I illustrate the core principles of the framework by characterizing one such environment, or “gridworld,” in which an agent learns to trade-off between monetary profit and fair dealing, as applied in a standard behavioral economic paradigm. I then highlight the core technical and philosophical advantages of the learning approach for modeling moral cognition, and for addressing the so-called value (...)
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