The Shape of Agency offers interlinked explanations of the basic building blocks of agency, as well as its exemplary instances. The first part offers accounts of a collection of related phenomena that have long troubled philosophers of action: control over behaviour, non-deviant causation, and intentional action. These accounts build on earlier work in the causalist tradition, and undermine the claims made by many that causalism cannot offer a satisfying account of non-deviant causation, and therefore fails as an account of intentional (...) action. The second part turns to modes of agentive excellence—ways that agents display quality of form—providing a novel account of skill, including an account of the ways that agents display more or less skill. Shepherd discusses the role of knowledge in skill, and concludes that while knowledge is often important, it is inessential. This leads to a discussion of the way that knowledge of action and knowledge of how to act informs action execution. Knowledgeable action includes a unique epistemic underpinning: in knowledgeable action, the agent has authoritative knowledge of what she is doing and how she is doing it when and because she is poised to control her action by way of practical reasoning. (shrink)

Many virtue-based approaches to propositional knowledge begin with the ability and achievement intuitions. In this paper, I rely on this pair of intuitions to explore the relationship between knowing how and knowing that. On the view that emerges, propositional knowledge is a kind of success through cognitive know how. Rather than simply equating know how with ability, I reveal deeper connections between both kinds of knowledge by focusing on the role of self-regulation.

An overview of the knowing-how debates over the last ten years.

Reason, we are told, is what makes us human, the source of our knowledge and wisdom. If reason is so useful, why didn't it also evolve in other animals? If reason is that reliable, why do we produce so much thoroughly reasoned nonsense? In their groundbreaking account of the evolution and workings of reason, Hugo Mercier and Dan Sperber set out to solve this double enigma. Reason, they argue with a compelling mix of real-life and experimental evidence, is not geared (...) to solitary use, to arriving at better beliefs and decisions on our own. What reason does, rather, is help us justify our beliefs and actions to others, convince them through argumentation, and evaluate the justifications and arguments that others address to us. In other words, reason helps humans better exploit their uniquely rich social environment. This interactionist interpretation explains why reason may have evolved and how it fits with other cognitive mechanisms. It makes sense of strengths and weaknesses that have long puzzled philosophers and psychologists--why reason is biased in favor of what we already believe, why it may lead to terrible ideas and yet is indispensable to spreading good ones.--. (shrink)

Recent progress in artificial intelligence has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object recognition, video games, and board games, achieving performance that equals or even beats that of humans in some respects. Despite their biological inspiration and performance achievements, these systems differ from human intelligence in crucial ways. We review progress in cognitive science suggesting that truly human-like learning and thinking (...) machines will have to reach beyond current engineering trends in both what they learn and how they learn it. Specifically, we argue that these machines should build causal models of the world that support explanation and understanding, rather than merely solving pattern recognition problems; ground learning in intuitive theories of physics and psychology to support and enrich the knowledge that is learned; and harness compositionality and learning-to-learn to rapidly acquire and generalize knowledge to new tasks and situations. We suggest concrete challenges and promising routes toward these goals that can combine the strengths of recent neural network advances with more structured cognitive models. (shrink)

In this paper, we aim to show that a study of Gilbert Ryle’s work has much to contribute to the current debate between intellectualism and anti-intellectualism with respect to skill and know-how. According to Ryle, knowing how and skill are distinctive from and do not reduce to knowing that. What is often overlooked is that for Ryle this point is connected to the idea that the distinction between skill and mere habit is a category distinction, or a distinction in form. (...) Criticizing the reading of Ryle presented by Jason Stanley, we argue that once the formal nature of Ryle’s investigation is recognized it becomes clear that his dispositional account is not an instance of reductionist behaviorism, and that his regress argument has a broader target than Stanley appears to recognize. (shrink)

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)

Biological regulation is what allows an organism to handle the effects of a perturbation, modulating its own constitutive dynamics in response to particular changes in internal and external conditions. With the central focus of analysis on the case of minimal living systems, we argue that regulation consists in a specific form of second-order control, exerted over the core regime of production and maintenance of the components that actually put together the organism. The main argument is that regulation requires a distinctive (...) architecture of functional relationships, and specifically the action of a dedicated subsystem whose activity is dynamically decoupled from that of the constitutive regime. We distinguish between two major ways in which control mechanisms contribute to the maintenance of a biological organisation in response to internal and external perturbations: dynamic stability and regulation. Based on this distinction an explicit definition and a set of organisational requirements for regulation are provided, and thoroughly illustrated through the examples of bacterial chemotaxis and the lac-operon. The analysis enables us to mark out the differences between regulation and closely related concepts such as feedback, robustness and homeostasis. (shrink)

First published in 1949, Gilbert Ryle ’s The Concept of Mind is one of the classics of twentieth-century philosophy. Described by Ryle as a ‘sustained piece of analytical hatchet-work’ on Cartesian dualism, The Concept of Mind is a radical and controversial attempt to jettison once and for all what Ryle called ‘the ghost in the machine’: Descartes’ argument that mind and body are two separate entities. This sixtieth anniversary edition includes a substantial commentary by Julia Tanney and is essential reading (...) for new readers interested not only in the history of analytic philosophy but in its power to challenge major currents in philosophy of mind and language today. (shrink)

An adequate theory of the nature of belief should help us explain the most obvious features of belief as we find it. Among these features are: guiding action and reasoning non-inferentially; varying in strength in ways that are spontaneously experience-sensitive; ‘aiming at truth’ in some sense and being evaluable in terms of correctness and warrant; possessing inertia across time and constancy across contexts; sustaining expectations in a manner mediated by propositional content; shaping the formation and execution of plans; generalizing spontaneously (...) projectively; and being independent of the will and resisting instrumentalization. Using the method of ‘creature construction’, I attempt to show how we can build an attitude with these features step-by-step from simpler components, thereby avoiding the problems of regress or circularity affecting a number of influential accounts of belief. (shrink)

Tyler Burge presents an original study of the most primitive ways in which individuals represent the physical world. By reflecting on the science of perception and related psychological and biological sciences, he gives an account of constitutive conditions for perceiving the physical world, and thus aims to locate origins of representational mind.

In this paper, I argue that there is a notion of 'counterfactual success' which stands to knowledge how as true belief stands to propositional knowledge. (I attempt to avoid the question of whether knowledge how is a type of propositional knowledge.).

"No human now gathers for himself or herself the essential resources for life: food, shelter, clothing, and the like. Humans are obligate co-operator, and this has been true for tens of thousands of years; probably much longer. In this regard, humans are very unusual. Cooperation outside the family is rare: though it can be very profitable, it is also very risky, as cooperation makes an agent vulnerable to incompetence and cheating. This book presents a new picture of the emergence of (...) cooperation in our lineage, developing through four fairly distinct phases from a baseline that was probably fairly similar to living great apes, who cooperate, but in fairly minimal ways. As adults, they rarely depend on others when the outcome really matters. This book suggests that cooperation began to be more important for humans through an initial phase of cooperative foraging generating immediate returns from collective action in small mobile bands. This established in our lineage about 1.8 million years ago, perhaps earlier. Over the rest of the Pleistocene, cooperation became more extended in its social scale, with forms of cooperation between bands gradually establishing, and in spatial and temporal scale too, with various forms of reciprocation becoming important. The final phase was the emergence of cooperation in large scale, hierarchical societies in the Holocene, beginning about 12,000 years ago. This picture is nested in a reading of the archaeological and ethnographic record, and twinned to an account of the gradual elaboration of cultural learning in our lineage, making cooperation both more profitable and more stable"--. (shrink)

Brian Skyrms, author of the successful Evolution of the Social Contract has written a sequel. The book is a study of ideas of cooperation and collective action. The point of departure is a prototypical story found in Rousseau's A Discourse on Inequality. Rousseau contrasts the pay-off of hunting hare where the risk of non-cooperation is small but the reward is equally small, against the pay-off of hunting the stag where maximum cooperation is required but where the reward is so much (...) greater. Thus, rational agents are pulled in one direction by considerations of risk and in another by considerations of mutual benefit. Written with Skyrms's characteristic clarity and verve, this intriguing book will be eagerly sought out by students and professionals in philosophy, political science, economics, sociology and evolutionary biology. (shrink)

This target article presents a theory of human cultural learning. Cultural learning is identified with those instances of social learning in which intersubjectivity or perspective-taking plays a vital role, both in the original learning process and in the resulting cognitive product. Cultural learning manifests itself in three forms during human ontogeny: imitative learning, instructed learning, and collaborative learning – in that order. Evidence is provided that this progression arises from the developmental ordering of the underlying social-cognitive concepts and processes involved. (...) Imitative learning relies on a concept of intentional agent and involves simple perspective-taking. Instructed learning relies on a concept of mental agent and involves alternating/coordinated perspective-taking (intersubjectivity). Collaborative learning relies on a concept of reflective agent and involves integrated perspective-taking (reflective intersubjectivity). A comparison of normal children, autistic children and wild and enculturated chimpanzees provides further evidence for these correlations between social cognition and cultural learning. Cultural learning is a uniquely human form of social learning that allows for a fidelity of transmission of behaviors and information among conspecifics not possible in other forms of social learning, thereby providing the psychological basis for cultural evolution. (shrink)

In the area of moral epistemology, there is an interesting problem facing the person in my area, ancient philosophy, who hopes to write a historical paper which will engage with our current philosophical concerns. Not only are ancient ethical theories very different in structure and concerns from modern ones, but the concerns and emphases of ancient epistemology are very different from those of modern theories of knowledge. Some may think that they are so different that they are useful to our (...) own discussions only by way of contrast. I am more sanguine, but I am quite aware that this essay's contribution to modern debates does not fall within the established modern traditions of discussing moral epistemology. (shrink)

What is the relation between computation and intennonality? Cognition presup- poses intentionality (or semantics). This much is certain. So, if, according to com- putationalism, cognition is computation, then computation, mo, presupposes..

In his profound discussion, Sterelny draws out common themes in the contributions to this topic: selective drivers in the coevolution of cognition and culture, the role of language in it, characteristics of cumulative cultural evolution, and issues of testability. He highlights the growing body of evidence for positive feedback mechanisms in cultural evolution, but also notes that progress is piecemeal, calling for more cross‐border work between cognitive science and research on cultural evolution.

We present a synthetic theory of skilled action which proposes that cognitive processes make an important contribution to almost all skilled action, contrary to influential views that many skills are performed largely automatically. Cognitive control is focused on strategic aspects of performance, and plays a greater role as difficulty increases. We offer an analysis of various forms of skill experience and show that the theory provides a better explanation for the full set of these experiences than automatic theories. We further (...) show that the theory can explain experimental evidence for skill automaticity, including evidence that secondary tasks do not interfere with expert performance, and evidence that experts have reduced memory for performance of sensorimotor skills. (shrink)

Argues that the key distinction between human and nonhuman social cognition consists in our complex, diverse and flexible capacities to shape each other's minds in ways that make them easier to interpret.

Embodied agents use bodily actions and environmental interventions to make the world a better place to think in. Where does language fit into this emerging picture of the embodied, ecologically efficient agent? One useful way to approach this question is to consider language itself as a cognition-enhancing animal-built structure. To take this perspective is to view language as a kind of self-constructed cognitive niche: a persisting though never stationary material scaffolding whose critical role in promoting thought and reason remains surprisingly (...) ill-understood. It is the very materiality of this linguistic scaffolding, I suggest, that is responsible for some key benefits. By materializing thought in words, we create structures that are themselves proper objects of perception, manipulation, and thought. (shrink)

The Sphex story is an anecdote about a female digger wasp that at first sight seems to act quite intelligently, but subsequently is shown to be a mere automaton that can be made to repeat herself endlessly. Dennett and Hofstadter made this story well known and widely influential within the cognitive sciences, where it is regularly used as evidence that insect behavior is highly rigid. The present paper discusses the origin and subsequent empirical investigation of the repetition reported in the (...) Sphex story. The repetition was first observed by Henri Fabre in 1879, and the last empirical study I found was published in 1985. In contrast to the story's clear message, the actual results have always been equivocal: the endless repetition is not standard. In addition, this repetition itself has become a minor aside in the literature on digger wasps when put in the perspective of many other examples of adaptiveness and flexibility. Nevertheless, the story and its message have to this day persevered within the cognitive sciences. For some reason, the counterevidence has been neglected time and again. The paper closes by presenting two different but compatible hypotheses that could explain why humans keep repeating this particular anecdote. (shrink)

Following Gilbert Ryle’s arguments, many philosophers took it for granted that someone knows how to do something just in case they have the ability to do it. Within the last couple decades, new intellectualists have challenged this longstanding anti-intellectualist assumption. Their central contention is that mere abilities aren’t on the same rational, epistemic level as know how. My goal is to intellectualize know how without over-intellectualizing it. Intelligent behavior is characteristically flexible or responsive to novelty, and the distinctive feature of (...) creatures who exhibit flexible behavior is their capacity to learn. As it turns out, Ryle already identified a core characteristic of learning shared widely across the animal kingdom from the lowly rat to the top athlete. Taking my cues from Ryle, I argue that know how is successful performance resulting from self-regulated abilities. To regulate an ability is to be disposed to adjust to error and respond to feedback. While regulating sophisticated human abilities often requires propositional knowledge, in many simpler cases it does not. I focus on the navigational know how of rats and honeybees. Although they possess know how, whether they possess propositional knowledge is at best an open question. (shrink)

Gilbert Ryle's distinction between knowledge-how and knowledge-that faces a significant challenge: accounting for the unity of knowledge. Jason Stanley, an ‘intellectualist’ opponent of Ryle's, brings out this problem by arguing that Ryleans must treat ‘know’ as an ambiguous word and must distinguish knowledge proper from knowledge-how, which is ‘knowledge’ only so-called. I develop the challenge and show that underlying Ryle's distinction is a unified vision of knowledge as ‘a capacity to get things right’, covering both knowledge-how and knowledge-that. I show (...) how Ryle specifies the general notion into knowledge-how and knowledge-that and discuss the mutual interdependence exhibited by the two forms of knowledge. Ryle's positive view of knowledge, properly understood, emerges as an important, neglected, alternative which should be brought back into the ongoing conversation about practical and theoretical knowledge. (shrink)