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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. Rational Inference: The Lowest Bounds.Cameron Buckner - 2019 - Philosophy and Phenomenological Research 98 (3):697-724.
    A surge of empirical research demonstrating flexible cognition in animals and young infants has raised interest in the possibility of rational decision‐making in the absence of language. A venerable position, which I here call “Classical Inferentialism”, holds that nonlinguistic agents are incapable of rational inferences. Against this position, I defend a model of nonlinguistic inferences that shows how they could be practically rational. This model vindicates the Lockean idea that we can intuitively grasp rational connections between thoughts by developing the (...)
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  5. Choice in a two systems world: picking & weighing or managing & metacognition.Tillmann Vierkant - 2018 - Phenomenology and the Cognitive Sciences 17 (1):1-13.
    Intuitively, choices seem to be intentional actions but it is difficult to see how they could be. If our choices are all about weighing up reasons then there seems no room for an additional intentional act of choice. Richard Holton has suggested a solution to this puzzle, which involves thinking of choices in a two systems of cognition framework. Holton’s suggestion does solve the puzzle, but has some unsatisfactory consequences. This paper wants to take over the important insights from Holton (...)
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  6. Deleting the Human Clause: A Review of Ashley Shew’s Animal Constructions and Technological Knowledge[REVIEW]Damien P. Williams - 2018 - Social Epistemology Review and Reply Collective 7 (2):42-44.
    _Animal Constructions and Technological Knowledge_ is Ashley Shew’s debut monograph and in it she argues that we need to reassess and possibly even drastically change the way in which we think about and classify the categories of technology, tool use, and construction behavior. Drawing from the fields of anthropology, animal studies, and philosophy of technology and engineering, Shew demonstrates that there are several assumptions made by researchers in all of these fields—assumptions about intelligence, intentionality, creativity and the capacity for novel (...)
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  7. Mirror Self‐Recognition and Self‐Identification.Alexandria Boyle - 2017 - Philosophy and Phenomenological Research 97 (2):284-303.
    That great apes are the only primates to recognise their reflections is often taken to show that they are self-aware—however, there has been much recent debate about whether the self-awareness in question is psychological or bodily self-awareness. This paper argues that whilst self-recognition does not require psychological self-awareness, to claim that it requires only bodily self-awareness would leave something out. That is that self-recognition requires ‘objective self-awareness’—the capacity for first person thoughts like ‘that's me’, which involve self-identification and so are (...)
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  8. Evidence for animal metaminds.Justin J. Couchman, Michael J. Beran, Mariana Vc Coutinho, Joseph Boomer & J. David Smith - 2012 - In Michael J. Beran, Johannes Brandl, Josef Perner & Joëlle Proust (eds.), The foundations of metacognition. Oxford University Press.
  9. The shaping of animals’ minds.Lucie H. Salwiczek & Wolfgang Wickler - 2005 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 6 (3):393-411.
    Mind is seen as a collection of abilities to take decisions in biologically relevant situations. Mind shaping means to form habits and decision rules of how to proceed in a given situation. Problem-specific decision rules constitute a modular mind; adaptive mind-shaping is likely to be module-specific. We present examples from different behaviour ‘faculties’ throughout the animal kingdom, grouped according to important mind-shaping factors to illustrate three basically different mind-shaping processes: external stimuli guide the differentiation of a nervous structure that controls (...)
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  10. 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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