38 research outputs found

    Skill in epistemology II: Skill and know how

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    The prequel to this paper has discussed the relation between knowledge and skill and introduced the topic of the relationship between skill and know how. This sequel continues the discussion. First, I survey the recent debate on intellectualism about knowing how (§1-3). Then, I tackle the question as to whether intellectualism (and anti-intellectualism) about skill and intellectualism (and anti-intellectualism) about know how fall or stand together (§4-5)

    Probabilistic Knowledge in Action

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    According to a standard assumption in epistemology, if one only partially believes that p , then one cannot thereby have knowledge that p. For example, if one only partially believes that that it is raining outside, one cannot know that it is raining outside; and if one only partially believes that it is likely that it will rain outside, one cannot know that it is likely that it will rain outside. Many epistemologists will agree that epistemic agents are capable of partial beliefs in addition to full beliefs and that partial beliefs can be epistemically assessed along some dimensions. However, it has been generally assumed that such doxastic attitudes cannot possibly amount to knowledge. In Probabilistic Knowledge, Moss challenges this standard assumption and provides a formidable defense of the claim that probabilistic beliefs—a class of doxastic attitudes including credences and degrees of beliefs—can amount to knowledge too. Call this the probabilistic knowledge claim . Throughout the book, Moss goes to great lengths to show that probabilistic knowledge can be fruitfully applied to a variety of debates in epistemology and beyond. My goal in this essay is to explore a further application for probabilistic knowledge. I want to look at the role of probabilistic knowledge within a “knowledge-centered” psychology—a kind of psychology that assigns knowledge a central stage in explanations of intentional behavior. My suggestion is that Moss’s notion of probabilistic knowledge considerably helps further both a knowledge-centered psychology and a broadly intellectualist picture of action and know-how that naturally goes along with it. At the same time, though, it raises some interesting issues about the notion of explanation afforded by the resulting psychology

    Skill in epistemology I: Skill and knowledge

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    Knowledge and skill are intimately connected. In this essay, I discuss the question of their relationship and of which (if any) is prior to which in the order of explanation. I review some of the answers that have been given thus far in the literature, with a particular focus on the many foundational issues in epistemology that intersect with the philosophy of skill

    On the Meaning of 'Therefore'

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    I argue for an analysis of ‘therefore’ as presupposition trigger against the more standard conventional implicature story originally put forward by Grice (1975). I propose that we model the relevant presupposition as “testing” the context in a way that is similar to how, according to some dynamic treatments of epistemic `must', ‘must’ tests the context. But whereas the presupposition analysis is plausible for ‘therefore’, ‘must’ is not plausibly a presupposition trigger. Moreover, whereas ‘must’ can naturally occur under a supposition, the same is not true for ‘therefore’. In the light of these differences, I suggest we distinguish between different sorts of tests on the basis of the mechanisms whereby these expressions test the context (whether through a presupposition or through their core content) and on the basis of whether they can operate only on categorical contexts or on both categorical and hypothetical contexts

    Practical Representation

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    This chapter discusses recent attempts to clarify the notion of practical representation and its theoretical fruitfulness. The ultimate goal is not just to show that intellectualists are on good grounds when they appeal to practical representation in their theories of know-how. Rather, it is to argue that ​ any plausible theory of skill and know-how has to appeal to the notion of practical representation developed here. §1 explains the notion of a mode of presentation and introduces practical modes of presentation. §2 illustrates practical representation by discussing models of motor control in current theories of sensori-motor psychology; §3 puts forward an argument for positing practical representation. §4 goes from practical non-conceptual representations to practical conceptual representations — to practical concepts. §5 concludes

    A Theory of Practical Meaning

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    This essay is divided into two parts. In the first part (§2), I introduce the idea of practical meaning by looking at a certain kind of procedural systems — the motor system — that play a central role in computational explanations of motor behavior. I argue that in order to give a satisfactory account of the content of the representations computed by motor systems (motor commands), we need to appeal to a distinctively practical kind of meaning. Defending the explanatory relevance of semantic properties in a computationalist explanation of motor behavior, my argument concludes that practical meanings play a central role in an adequate psychological theory of motor skill. In the second part of this essay (§3), I generalize and clarify the notion of practical meaning, and I defend the intelligibility of practical meanings against an important objection

    Arguments, Suppositions, and Conditionals

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    Arguments and conditionals are powerful means natural languages provide us to reason about possibilities and to reach conclusions from premises. These two kinds of constructions exhibit several affinities—e.g., they both come in different varieties depending on the mood; they share some of the same connectives (i.e., ‘then’); they also allow for similar patterns of modal subordination. In the light of these affinities, it is not surprising that prominent theories of conditionals—old and new suppositionalisms and dynamic theories of conditionals—as well as certain reductive theories of arguments tend to semantically assimilate conditionals and arguments. In this paper, I shall marshall some linguistic evidence as well as some theoretical considerations for thinking that, despite these similarities, arguments and conditionals should be given a different semantics. In the final part of the paper, extending and improving on Kocurek & Pavese 2022, I make some progress outlining a framework that has the potential to capture the affinities of conditionals and arguments, while modeling their differences too

    Know-how, action, and luck

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    A good surgeon knows how to perform a surgery; a good architect knows how to design a house. We value their know-how. We ordinarily look for it. What makes it so valuable? A natural response is that know-how is valuable because it explains success. A surgeon’s know-how explains their success at performing a surgery. And an architect’s know-how explains their success at designing houses that stand up. We value know-how because of its special explanatory link to success. But in virtue of what is know-how explanatorily linked to success? This essay provides a novel argument for the thesis that know-how’s special link to success is to be explained at least in part in terms of its being, or involving, a doxastic attitude that is epistemically alike propositional knowledge. It is argued that the role played by know-how in explaining intentional success shows that the epistemic differences between know-how and knowledge, if any, are less than usually thought; and that "revisionary intellectualism", the view that know-how is true belief that might well fall short of knowledge, is not really a stable position. If its explanatory link to success is what makes know-how valuable, an upshot of my argument is that the value of know-how is due, to a considerable extent, to its being, or involving, a kind of propositional knowledge

    Logical Inference and Its Dynamics

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    This essay advances and develops a dynamic conception of inference rules and uses it to reexamine a long-standing problem about logical inference raised by Lewis Carroll’s regress

    Introduction to Routledge Handbook of Philosophy of Skill and Expertise

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    The diverse and breathtaking intelligence of the human animal is often embodied in skills. People, throughout their lifetimes, acquire and refine a vast number of skills. And there seems to be no upper limit to the creativity and beauty expressed by them. Think, for instance, of Olympic gymnastics: the amount of strength, flexibility, and control required to perform even a simple beam routine amazes, startles, and delights. In addition to the sheer beauty of skill, performances at the pinnacle of expertise often display a kind of brilliance or genius. We observe an intelligence that saturates the body. The unity of physicality and intellect, mind and body, meshed and melded. Apart from sports, people develop a host of other skills, including musical and artistic skills, linguistic and social skills, scientific and medical skills, military and political skills, engineering skills, computer skills, business skills, etc. What's more, skill acquisition and refinement occurs throughout the human lifespan. In the Introduction to the Routledge Handbook of Skill and Expertise, we introduce and contextualize the various chapters that compose the Handbook. Before providing substantive overviews of each chapter, we also discuss the topic of skill in general and its importance for various areas of philosophy. Chapters are organized into six sections: 1. Skill in the history of philosophy (East & West), 2. Skill in Epistemology, 3. Skill, Intelligence, and Agency, 4. Skill in Perception, Imagination, and Emotion, 5. Skill, Language, and Social Cognition, and 6. Skill and Expertise in Normative Philosophy
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