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  1. Reflective Naturalism.Spencer Paulson - 2023 - Synthese 203 (13):1-21.
    Here I will develop a naturalistic account of epistemic reflection and its significance for epistemology. I will first argue that thought, as opposed to mere information processing, requires a capacity for cognitive self-regulation. After discussing the basic capacities necessary for cognitive self-regulation of any kind, I will consider qualitatively different kinds of thought that can emerge when the basic capacities enable the creature to interiorize a form of social cooperation. First, I will discuss second-personal cooperation and the kind of thought (...)
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  2. Animal moral psychologies.Susana Monsó & Kristin Andrews - 2022 - In Manuel Vargas & John Doris (eds.), The Oxford Handbook of Moral Psychology. Oxford, U.K.: Oxford University Press.
    Observations of animals engaging in apparently moral behavior have led academics and the public alike to ask whether morality is shared between humans and other animals. Some philosophers explicitly argue that morality is unique to humans, because moral agency requires capacities that are only demonstrated in our species. Other philosophers argue that some animals can participate in morality because they possess these capacities in a rudimentary form. Scientists have also joined the discussion, and their views are just as varied as (...)
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  3. Can Informational Theories Account for Metarepresentation?Miguel Ángel Sebastián & Marc Artiga - 2020 - Topoi 39 (1):81-94.
    In this essay we discuss recent attempts to analyse the notion of representation, as it is employed in cognitive science, in purely informational terms. In particular, we argue that recent informational theories cannot accommodate the existence of metarepresentations. Since metarepresentations play a central role in the explanation of many cognitive abilities, this is a serious shortcoming of these proposals.
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  4. Quantum Intrinsic Curiosity Algorithms.Shanna Dobson & Julian Scaff - manuscript
    We propose a quantum curiosity algorithm as a means to implement quantum thinking into AI, and we illustrate 5 new quantum curiosity types. We then introduce 6 new hybrid quantum curiosity types combining animal and plant curiosity elements with biomimicry beyond human sensing. We then introduce 4 specialized quantum curiosity types, which incorporate quantum thinking into coding frameworks to radically transform problem-solving and discovery in science, medicine, and systems analysis. We conclude with a forecasting of the future of quantum thinking (...)
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