What does it mean to know how to do something? This book develops a comprehensive account of know-how, a crucial epistemic goal for all who care about getting things right, not only with respect to the facts, but also with respect to practice. It proposes a novel interpretation of the seminal work of Gilbert Ryle, according to which know-how is a competence, a complex ability to do well in an activity in virtue of guidance by an understanding of what it (...) takes to do so. This idea is developed into a full-fledged account, Rylean responsibilism, which understands know-how in terms of the normative guidance and responsible control of one's acts. Within the complex current debate about know-how, this view occupies a middle ground position between the intellectualist claim that know-how just is propositional or objectual knowledge and the anti-intellectualist claim that know-how just is ability. In genuine know-how, practical ability and guiding intellect are both necessary, but essentially intertwined. (shrink)

This paper argues that the propositions “S knowing how to Φ entails that S has the ability to Φ” and “S knowing how to Φ does not entail the ability to Φ” can both be true and non-contradictory when true, so long as one distinguishes between Φ as an action-type and Φ as an action-token. In order to defend this claim, recent work by Young, Levy, and Gaultier is discussed with a view to integrating into a coherent and novel position (...) certain commonalities within their respective views. As a consequence of this integration, a revised version of Young’s type-token action clause is suggested that provides comprehensive support for the assertion that knowing how to Φ both does and does not necessitate the ability to Φ, depending on whether one is talking about action types or action tokens. (shrink)

The target article sought to question the common belief that our decisions are often biased by unconscious influences. While many commentators offer additional support for this perspective, others question our theoretical assumptions, empirical evaluations, and methodological criteria. We rebut in particular the starting assumption that all decision making is unconscious, and that the onus should be on researchers to prove conscious influences. Further evidence is evaluated in relation to the core topics we reviewed (multiple-cue judgment, deliberation without attention, and decisions (...) under uncertainty), as well as priming effects. We reiterate a key conclusion from the target article, namely, that it now seems to be generally accepted that awareness should be operationally defined as reportable knowledge, and that such knowledge can only be evaluated by careful and thorough probing. We call for future research to pay heed to the different ways in which awareness can intervene in decision making (as identified in our lens model analysis) and to employ suitable methodology in the assessment of awareness, including the requirements that awareness assessment must be reliable, relevant, immediate, and sensitive. (shrink)

A common view holds that consciousness is needed for knowledge acquired in one domain to be applied in a novel domain. We present evidence for the opposite; where the transfer of knowledge is achieved only in the absence of conscious awareness. Knowledge of artificial grammars was examined where training and testing occurred in different vocabularies or modalities. In all conditions grammaticality judgments attributed to random selection showed above-chance accuracy , while those attributed to conscious decisions did not. Participants also rated (...) each string’s familiarity and performed a perceptual task assessing fluency. Familiarity was predicted by repetition structure and was thus related to grammaticality. Fluency, though increasing familiarity, was unrelated to grammaticality. While familiarity predicted all judgments only those attributed to random selection showed a significant additional contribution of grammaticality, deriving primarily from chunk novelty. In knowledge transfer, as in visual perception , the unconscious may outperform the conscious. (shrink)

An increasingly popular objection to anti-intellectualism about know-how is that there are clear cases where an agent having the dispositional ability to φ does not suffice for her knowing how to φ. Recently, Adam Carter has argued that anti-intellectualism can only rise to meet this sufficiency objection if it imposes additional constraints on know-how. He develops a revisionary anti-intellectualism, on which knowing how to φ not only entails that the agent possesses a reliable ability to φ, but also that she (...) is equipped with certain kind of intellectual grasp of the method by which she is able to reliably φ. This paper argues that Carter's revisionary know-how does not constitute an improvement over the more standard version of anti-intellectualism. Moreover, it is argued that Carter's additional demands concede too much to the intellectualist, and, as a result, commit his revised anti-intellectualism to familiar problems facing the intellectualist account of know-how. In other words, his attempts to respond to the sufficiency objection constitutes a dangerous compromise to the intellectualist. The paper finishes with a final analysis that suggests, in the end, there are still reasons to prefer standard anti-intellectualism over intellectualism. (shrink)

Previous research has established that people can implicitly learn chunks, which do not require a memory buffer to process. The present study explores the implicit learning of nonlocal dependencies generated by higher than finite-state grammars, specifically, Chinese tonal retrogrades and inversions , which do require buffers . People were asked to listen to and memorize artificial poetry instantiating one of the two grammars; after this training phase, people were informed of the existence of rules and asked to classify new poems, (...) while providing attributions of the basis of their judgments. People acquired unconscious structural knowledge of both tonal retrogrades and inversions. Moreover, inversions were implicitly learnt more easily than retrogrades constraining the nature of the memory buffer in computational models of implicit learning. (shrink)

According to a prominent account of knowledge-how, knowledge-how is a species of propositional knowledge. A related view has it that to know how to perform an action is for it to seem to one that a way to perform that action is in fact a way to do so. According to a further view, knowledge-how is a species of objectual knowledge. Each of these intellectualist views has significant virtues including, notably, the ability to account for the seemingly epistemic dimensions of (...) knowledge-how. However, while intellectualist views can account for the seemingly epistemic dimensions of knowledge-how, such views have difficulty accounting for the practical dimensions of knowledge-how. The objection I level against existing intellectualist views here seizes on this deficiency. I argue that, in virtue of the practical dimensions of knowledge-how, propositional knowledge under a practical mode of presentation is not sufficient for knowledge-how. Even when the sufficiency conditions for knowledge-how set out by extant intellectualist views are met, one may fail to know how to perform an action in virtue of a disposition to act on a false belief about a way for one to perform that action. Thus, whereas critics of intellectualist views often allege that such views place overly demanding conditions on knowledge-how, the objection developed here suggests that existing intellectualist views place insufficiently demanding conditions on knowledge-how. (shrink)

I examine two explanatory models of choking: the representationalist model and the anti-representationalist model. The representationalist model is based largely on Anderson's ACT model of procedural knowledge and is developed by Masters, Beilock and Carr. The antirepresentationalist model is based on dynamical models of cognition and embodied action and is developed by Dreyfus who employs an antirepresentational view of know-how. I identify the models' similarities and differences. I then suggest that Dreyfus is wrong to believe representational activity requires reflection and (...) attention. I also argue that the representationalist model of choking is preferable, since some embodied actions require appeals to representations, something not available to Dreyfus's anti-representational model. (shrink)

In this paper, I submit that it is the controlled part of skilled action, that is, that part of an action that accounts for the exact, nuanced ways in which a skilled performer modifies, adjusts and guides her performance for which an adequate, philosophical theory of skill must account. I will argue that neither Jason Stanley nor Hubert Dreyfus have an adequate account of control. Further, and perhaps surprisingly, I will argue that both Stanley and Dreyfus relinquish an account of (...) control for precisely the same reason: each reduce control to a passive, mechanistic, automatic process, which then prevents them from producing a substantive account of how controlled processes can be characterized by seemingly intelligent features and integrated with personal-level states. I will end by introducing three different kinds of control, which are constitutive of skilled action: strategic control, selective, top–down, automatic attention, and motor control. It will become clear that Dreyfus cannot account for any of these three kinds of control while Stanley has difficulty tackling the two latter kinds. (shrink)

It is not rare in philosophy and psychology to see theorists fall into dichotomous thinking about mental phenomena. On one side of the dichotomy there are processes that I will label “unintelligent.” These processes are thought to be unconscious, implicit, automatic, unintentional, involuntary, procedural, and non-cognitive. On the other side, there are “intelligent” processes that are conscious, explicit, controlled, intentional, voluntary, declarative, and cognitive. Often, if a process or behavior is characterized by one of the features from either of the (...) above lists, the process or behavior is classified as falling under the category to which the feature belongs. For example, if a process is implicit this is usually considered sufficient for classifying it as “unintelligent” and for assuming that the remaining features that fall under the “unintelligent” grouping will apply to it as well. Accordingly, if a process or behavior is automatic, philosophers often consider it to be unintelligent. It is my goal in this paper to challenge the conceptual slip from “automatic” to “unintelligent”. I will argue that there are a whole range of properties highlighted by the existing psychological literature that make automaticity a much more complex phenomenon than is usually appreciated. I will then go on to discuss two further important relationships between automatic processes and controlled processes that arise when we think about automatic processes in the context of skilled behavior. These interactions should add to our resistance to classifying automaticity as unintelligent or mindless. In Sect. 1, I present a few representative cases of philosophers classifying automatic processes and behaviors as mindless or unintelligent. In Sect. 2, I review trends in the psychology of automaticity in order highlight a complex set of features that are characteristic, though not definitive, of automatic processes and behaviors. In Sect. 3, I argue that at least some automatic processes are likely cognitively penetrable. In Sect. 4, I argue that the structure of skilled automatic processes is shaped diachronically by practice, training and learning. Taken together, these considerations should dislodge the temptation to equate “automatic” with “unintelligent”. (shrink)

The distinction between knowledge-how and knowledge-that has long been debated in the epistemological literature. This distinction can, arguably, be better understood in terms of a more fundamental distinction between information-how and information-that. Information-how is prescriptive and informs a cognitive agent about which action can be performed to achieve a particular outcome. Information-that is descriptive and informs the agent about events, objects, and states of affairs in the world. Since the latter has received more attention in the epistemological literature, this article (...) focuses on the former. I offer a new account of information-how that answers the question, ‘When do data qualify as information-how?’. (shrink)

Can we make mistakes about what rationality requires? A natural answer is that we can, since it is a platitude that rational belief does not require truth; it is possible for a belief to be rational and mistaken, and this holds for any subject matter at all. However, the platitude causes trouble when applied to rationality itself. The possibility of rational mistakes about what rationality requires generates a puzzle. When combined with two further plausible claims – the enkratic principle, and (...) the claim that rational requirements apply universally – we get the result that rationality generates inconsistent requirements. One popular and attractive solution to the puzzle denies that it is possible to make rational mistakes about what rationality requires. I show why (contra Titelbaum (2015b), and Littlejohn (2015)) this solution is doomed to fail. (shrink)

We argue that the term “intuition”, as it is used in metaphilosophy, is ambiguous between at least four different senses. In philosophy of language, the relevant “intuitions” are either the outputs of our competence to interpret and produce linguistic expressions, or the speakers’ or hearers’ own reports of these outputs. The semantic facts that philosophers of language are interested in are determined by the outputs of our competence. Hence, philosophers of language should be interested in investigating these, and they do (...) this by testing what we would say or understand in hypothetical communication situations. In the final section of the paper we suggest some methods for investigating these outputs which are independent of whether subjects report them, and hence which might be used as an alternative to the standard use of hypothetical cases. (shrink)

We consider a range of cases—both hypothetical and actual—in which agents apparently know how to \ but fail to believe that the way in which they in fact \ is a way for them to \. These “no-belief” cases present a prima facie problem for Intellectualism about knowledge-how. The problem is this: if knowledge-that entails belief, and if knowing how to \ just is knowing that some w is a way for one to \, then an agent cannot both know (...) how to \ and fail to believe that w, the way that she \s, is a way for her to \. We discuss a variety of ways in which Intellectualists might respond to this challenge and argue that, ultimately, this debate converges with another, seemingly distinct debate in contemporary epistemology: how to attribute belief in cases of conflict between an agent’s avowals and her behavior. No-belief cases, we argue, reveal how Intellectualism depends on the plausibility of positing something like “implicit beliefs”—which conflict with an agent’s avowed beliefs—in many cases of apparent knowledge-how. While there may be good reason to posit implicit beliefs elsewhere, we suggest that there are at least some grounds for thinking that these reasons fail to carry over to no-belief cases, thus applying new pressure to Intellectualism. (shrink)

According to the standard story given by reductive versions of the Causal Theory of Action, an action is an intrinsically mindless bodily movement that is appropriately caused by an intention. Those who embrace this story typically take this intention to have a coarse-grained content, specifying the action only down to the level of the agent's habits and skills. Markos Valaris argues that, because of this, the standard story cannot make sense of the deep reach of our non-observational knowledge of action. (...) He concludes that we therefore have to jettison its conception of actions as mindless bodily movements animated from the outside by intentions. Here we defend the standard story. We can make sense of the reach of non-observational knowledge of action once we reject the following two assumptions: (i) that an intended habitual or skilled action is a so-called basic action—that is, an action that doesn't involve any finer-grained intentions—and (ii) that an agent, in acting, is merely executing one intention rather than a whole hierarchy of more or less fine-grained intentions. We argue that (i) and (ii) are false. (shrink)

How can we explain the intentional nature of an expert’s actions, performed without immediate and conscious control, relying instead on automatic cognitive processes? How can we account for the differences and similarities with a novice’s performance of the same actions? Can a naturalist explanation of intentional expert action be in line with a philosophical concept of intentional action? Answering these and related questions in a positive sense, this dissertation develops a three-step argument. Part I considers different methods of explanations in (...) cognitive neuroscience (Bennett & Hacker’s philosophical, conceptual analysis; Marr’s three levels of explanation; Neural Correlates of Consciousness research; mechanistic explanation), defending ‘mechanistic explanation’ as a method that provides the necessary tools for integrating interdisciplinary insights into human action. Furthermore, a dynamic, explanatory mechanism allows the assessment of the impact of learning and development on expert action in a valuable way that other methods don’t. Part II continues by scrutinizing several cognitive neuroscientific theories of learning and development (neuroconstructivism; dual-processing theories; simulation theory; extended mind/cognition hypothesis), arguing for the complex interactions between different types of processing and different action representations involved in expert action performances. Moreover, according to our discussion of a particular ‘simulation theory’ these interactions can be influenced in several ways with the use of language, allowing an agent to configure a specific action representation for performance at a later stage. The results of Parts I and II are then applied in Part III to a parallel discussion of philosophical analyses of intentional action (discussing i.a. Frankfurt, Bratman, Pacherie and Ricoeur) and cognitive neuroscientific insights in it. Both approaches are found to converge in emphasizing the importance for an expert to develop stable patterns of actions that comply maximally not only with his intentions, but also with his motor expertise and with situational conditions. Consequently, his actions – automatic, or not – rely on this ‘sculpted space of actions’. (shrink)

It is well-documented that children do not begin school as blank slates but that they bring with them extensive knowledge about how the world around them works. This conceptual knowledge, embedded within rich theoretical structures, is not always accurate and requires change through learning and instruction. Yet some ideas – such as object motion – appear to be particularly resistant to such change. So how can conceptual change be achieved or facilitated? Collaboration, for one, has long been recognised as a (...) beneficial learning and teaching approach, including early science education. However, for deep-rooted ideas collaborating with others may not always have the desired impact. Instead, the notion of self-collaboration is considered in this review. The current state of research in the field of predictive and underlying knowledge in childhood is outlined and different models of how the knowledge systems relate to each other are discussed. While further work is still needed to establish a clearer picture of how self-collaboration might effect conceptual change, research to-date clearly identifies significant differences between predictive and underlying knowledge structures throughout childhood, how these structures can be related to traditional conceptual change theories, and how they may play a role in future learning and instructional approaches. (shrink)