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  1. Being Familiar with What One Wants.Uku Tooming - 2020 - Pacific Philosophical Quarterly 101 (4):690-710.
    Self‐ascriptions of desire seem to differ in their epistemic security. There are easy cases in which a sincere self‐ascription immediately counts as knowledgeable, and there are hard cases in which it is an open question whether an agent actually knows that they have the desire that they take themselves to have. In this paper, I suggest an explanation according to which whether a self‐ascription of desire is easy or hard depends on whether one is familiar with the content of the (...)
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  • Desire and What It’s Rational to Do.Ashley Shaw - 2021 - Australasian Journal of Philosophy 99 (4):761-775.
    It is often taken for granted that our desires can contribute to what it is rational for us to do. This paper examines an account of desire—the ‘guise of the good’— that promises an explanation of this datum. I argue that extant guise-of-the-good accounts fail to provide an adequate explanation of how a class of desires—basic desires—contributes to practical rationality. I develop an alternative guise-of-the-good account on which basic desires attune us to our reasons for action in virtue of their (...)
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  • Hunger, Homeostasis, and Desire.Mohan Matthen - 2023 - Mind and Language 40:1–18.
    Hunger is a psychological state that serves physiological energy homeostasis. I argue that it is a pure underived desire to eat and examine its role in homeostasis. After scene-setting explanations of homeostasis and desire, I argue that hunger is a close phenomenological match with underived desire. Then, I show why desire is an apt instrument for energy homeostasis. Finally, I argue that energy homeostasis is a multi-factorial future-regarding behavioural strategy. Hunger is a special purpose sensory state that serves only to (...)
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  • Reinforcement learning and artificial agency.Patrick Butlin - 2024 - Mind and Language 39 (1):22-38.
    There is an apparent connection between reinforcement learning and agency. Artificial entities controlled by reinforcement learning algorithms are standardly referred to as agents, and the mainstream view in the psychology and neuroscience of agency is that humans and other animals are reinforcement learners. This article examines this connection, focusing on artificial reinforcement learning systems and assuming that there are various forms of agency. Artificial reinforcement learning systems satisfy plausible conditions for minimal agency, and those which use models of the environment (...)
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  • Defending the motivational theory of desire.David Pineda Oliva - forthcoming - Theoria : An International Journal for Theory, History and Fundations of Science.
    In this paper I offer a defense of the motivational theory of desire. According to the motivational view, a desire is basically a disposition to bring about the desire's content. First, I argue that two rival views on the nature of desire, the evaluative theory and the deontic theory, fall prey to the problem of the death of desire and that, when one tries to develop a plausible version of these theories which is able to overcome this problem, one ends (...)
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