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Joint know-how

Philosophical Studies 176 (12):3329–3352 (2019)

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  1. Social Epistemology and Knowing-How.Yuri Cath - 2024 - In Jennifer Lackey & Aidan McGlynn (eds.), Oxford Handbook of Social Epistemology. Oxford University Press.
    This chapter examines some key developments in discussions of the social dimensions of knowing-how, focusing on work on the social function of the concept of knowing-how, testimony, demonstrating one's knowledge to other people, and epistemic injustice. I show how a conception of knowing-how as a form of 'downstream knowledge' can help to unify various phenomena discussed within this literature, and I also consider how these ideas might connect with issues concerning wisdom, moral knowledge, and moral testimony.
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  • Practical knowledge without practical expertise: the social cognitive extension via outsourcing.Xiaoxing Zhang - 2023 - Philosophical Studies 180 (4):1255-1275.
    Practical knowledge is discussed in close relation to practical expertise. For both anti-intellectualists and intellectualists, the knowledge of how to φ is widely assumed to entail the practical expertise in φ-ing. This paper refutes this assumption. I argue that non-experts can know how to φ via other experts’ knowledge of φ-ing. Know-how can be ‘outsourced’. I defend the outsourceability of know-how, and I refute the objections that reduce outsourced know-how to the knowledge of how to ask for help, of how (...)
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  • Correction to: Practical knowledge without practical expertise: the social cognitive extension via outsourcing.Xiaoxing Zhang - 2023 - Philosophical Studies 180 (7):2211-2212.
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  • Collective Responsibility and Artificial Intelligence.Isaac Taylor - 2024 - Philosophy and Technology 37 (1):1-18.
    The use of artificial intelligence (AI) to make high-stakes decisions is sometimes thought to create a troubling responsibility gap – that is, a situation where nobody can be held morally responsible for the outcomes that are brought about. However, philosophers and practitioners have recently claimed that, even though no individual can be held morally responsible, groups of individuals might be. Consequently, they think, we have less to fear from the use of AI than might appear to be the case. This (...)
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  • The Metaphysics of Practical Rationality: Intentional and Deontic Cognition.Preston Stovall - 2021 - Journal of the American Philosophical Association 7 (4):549-568.
    Despite growing appreciation in recent decades of the importance of shared intentional mental states as a foundation for everything from divergences in primate evolution, to the institution of communal norms, to trends in the development of modernity as a socio-political phenomenon, we lack an adequate understanding of the relationship between individual and shared intentionality. At the same time, it is widely appreciated that deontic reasoning concerning what ought, may, and ought not be done is, like reasoning about our intentions, an (...)
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  • Joint Abilities, Joint Know-how and Collective Knowledge.Seumas Miller - 2019 - Social Epistemology 34 (3):197-212.
    In this article, I introduce and analyze the notion of joint abilities; a species of ability possessed by agents who perform joint actions of a certain kind. Joint abilities are abilitie...
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  • Habits and Skills in the Domain of Joint Action.Judith H. Martens - 2020 - Topoi (3):1-13.
    Dichotomous thinking about mental phenomena is abundant in philosophy. One particularly tenacious dichotomy is between “automatic” and “controlled” processes. In this characterization automatic and unintelligent go hand in hand, as do non-automatic and intelligent. Accounts of skillful action have problematized this dichotomous conceptualization and moved towards a more nuanced understanding of human agency. This binary thinking is, however, still abundant in the philosophy of joint action. Habits and skills allow us agentic ways of guiding complex action routines that would otherwise (...)
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  • The Shared Know-how in Linguistic Bodies.Eros Moreira de Carvalho - 2021 - Filosofia Unisinos 22 (1):94-101.
    The authors of *Linguistic Bodies* appeal to shared know-how to explain the social and participatory interactions upon which linguistic skills and agency rest. However, some issues lurk around the notion of shared know-how and require attention and clarification. In particular, one issue concerns the agent behind the shared know-how, a second one concerns whether shared know-how can be reducible to individual know-how or not. In this paper, I sustain that there is no single answer to the first issue; depending on (...)
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  • Refining the Skill Hypothesis: Replies to Andrews/Westra, Tomasello, Sterelny, and Railton.Jonathan Birch - 2021 - Analyse & Kritik 43 (1):253-260.
    I reflect on the commentaries on my ‘skill hypothesis’ from Andrews/westra, Tomasello, Sterelny, and Railton. I discuss the difference between normative cognition and the broader category of action-guiding representation, and I reflect on the relationship between joint intentionality and normative cognition. I then consider Sterelny and Railton’s variants on the skill hypothesis, which highlight some important areas where future evidence could help us refine the account: the relative importance of on-the-fly skill execution vs. longer-term strategizing, the relative importance of toolmaking (...)
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  • Knowledge How.Jeremy Fantl - 2012 - Stanford Encyclopedia of Philosophy.
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  • Seumas Miller on Knowing-How and Joint Abilities.Yuri Cath - 2020 - Social Epistemology Review and Reply Collective 9:14-21.
    A critical discussion of Seumas Miller's view on knowing-how and joint abilities.
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  • Framing the Epistemic Schism of Statistical Mechanics.Javier Anta - 2021 - Proceedings of the X Conference of the Spanish Society of Logic, Methodology and Philosophy of Science.
    In this talk I present the main results from Anta (2021), namely, that the theoretical division between Boltzmannian and Gibbsian statistical mechanics should be understood as a separation in the epistemic capabilities of this physical discipline. In particular, while from the Boltzmannian framework one can generate powerful explanations of thermal processes by appealing to their microdynamics, from the Gibbsian framework one can predict observable values in a computationally effective way. Finally, I argue that this statistical mechanical schism contradicts the Hempelian (...)
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