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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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  • Self-Construal Priming Affects Holistic Face Processing and Race Categorization, but Not Face Recognition.Xinge Liu, Xingfen Liang, Cong Feng & Guomei Zhou - 2019 - Frontiers in Psychology 10.
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  • Self-Hierarchy in Perceptual Matching: Variations in Different Processing Stages.Yingcan Zheng, Zilun Xiao, Yong Liu & Xin Zhou - 2022 - Frontiers in Psychology 13.
    People have three cognitive representations of the self, namely, the individual, relational, and collective selves, which are indispensable components of selfhood but not necessarily given equal preference. Previous studies found that people displayed varied self-hierarchy in miscellaneous tasks involving different research materials that had pre-existing learned associations established over long periods of time. Therefore, this study tries to explore a purer self-hierarchy without the influence of research materials, using perceptual matching tasks. The behavioral and event-related potentials’ findings showed that people (...)
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