Wayne David Christensen

There is a widespread view that well-learned skills are automated, and that attention to the performance of these skills is damaging because it disrupts the automatic processes involved in their execution. This idea serves as the basis for an account of choking in high pressure situations. On this view, choking is the result of self-focused attention induced by anxiety. Recent research in sports psychology has produced a significant body of experimental evidence widely interpreted as supporting this account of choking in certain kinds of complex sensorimotor skills. We argue against this interpretation, pointing to problems with both the empirical evidence and the underlying theory. The experimental research fails to provide direct support for the central claims of the self-focus approach, contains inconsistencies, and suffers from problems of ecological validity. In addition, qualitative studies of choking have yielded contrary results. We further argue that in their current forms the self-focus and rival distraction approaches both lack the theoretical resources to provide a good theory of choking, and we argue for an expanded approach. Some of the elements that should be in an expanded approach include accounts of the features of pressure situations that influence the psychological response, the processes of situation appraisal, and the ways that attentional control can be overwhelmed, leading to distraction in some cases, and in others, perhaps, to damaging attention to skill execution. We also suggest that choking may sometimes involve performance-impairing mechanisms other than distraction or self-focus

‘There is no place in the phenomenology of fully absorbed coping’, writes Hubert Dreyfus, ‘for mindfulness. In flow, as Sartre sees, there are only attractive and repulsive forces drawing appropriate activity out of an active body’1. Among the many ways in which history animates dynamical systems at a range of distinctive timescales, the phenomena of embodied human habit, skilful movement, and absorbed coping are among the most pervasive and mundane, and the most philosophically puzzling. In this essay we examine both habitual and skilled movement, sketching the outlines of a multidimensional framework within which the many differences across distinctive cases and domains might be fruitfully understood. Both the range of movement phenomena which can plausibly be seen as instances of habit or skill, and the space of possible theories of such phenomena are richer and more disparate than philosophy easily encompasses. We seek to bring phenomenology into contact with relevant movements in psychological theories of skilful action, in the belief that phenomenological philosophy and cognitive science can be allies rather than antagonists

Expert skill in music performance involves an apparent paradox. On stage, expert musicians are required accurately to retrieve information that has been encoded over hours of practice. Yet they must also remain open to the demands of the ever-changing situational contingencies with which they are faced during performance. To further explore this apparent paradox and the way in which it is negotiated by expert musicians, this article profiles theories presented by Roger Chaffin, Hubert Dreyfus and Tony and Helga Noice. For Chaffin, expert skill in music performance relies solely upon overarching mental representations, while, for Dreyfus, such representations are needed only by novices, while experts rely on a more embodied form of coping. Between Chaffin and Dreyfus sit the Noices, who argue that both overarching cognitive structures and embodied processes underlie expert skill. We then present the Applying Intelligence to the Reflexes (AIR) approach?a differently nuanced model of expert skill aligned with the integrative spirit of the Noices? research. The AIR approach suggests that musicians negotiate the apparent paradox of expert skill via a mindedness that allows flexibility of attention during music performance. We offer data from recent doctoral research conducted by the first author of this article to demonstrate at a practical level the usefulness of the AIR approach when attempting to understand the complexities of expert skill in music performance.

Seeking to expand on previous theories, this paper explores the AIR (Applying Intelligence to the Reflexes) approach to expert performance previously outlined by Geeves, Christensen, Sutton and McIlwain (2008). Data gathered from a semi-structured interview investigating the performance experience of Jeremy Kelshaw (JK), a professional musician, is explored. Although JK’s experience of music performance contains inherently uncertain elements, his phenomenological description of an ideal performance is tied to notions of vibe, connection and environment. The dynamic nature of music performance advocated by the AIR approach is illustrated by the strategies that JK implements during performance. Through executing these strategies, JK attempts to increase the likelihood of vibe and connection by selectively exercising agency over performance variables within his control. In order to achieve this, JK must engage in ongoing monitoring of his performance, whereby the spotlight of his attention pans across a vast array of disparate performance processes (and levels within these processes) in order to ascertain how he can most effectively meet the specific demands of a given performance situation. It is hoped that future research compiling data from numerous interviews and sources as well as using different research methodologies will further unlock the potential that the AIR approach holds for understanding expert performance.

The nature of the cognition-motor interface has been brought to prominence by Butterfill & Sinigaglia, who argue that the representations employed by the cognitive and motor systems should not be able to interact with each other. Here I argue that recent empirical evidence concerning the interface contradicts several of the assumptions incorporated in Butterfill & Sinigaglia’s account, and I seek to develop a theoretical picture that will allow us to explain the structure of the interface presented by this evidence. The central idea is that neural plasticity incorporates metarepresentational rules for constructing representational systems and linking them. The structure of the cognition-motor interface is constructed flexibly during development and skill learning based on information processing demands.

How do concert pianists commit to memory the structure of a piece of music like Bach’s Italian Concerto, learning it well enough to remember it in the highly charged setting of a crowded performance venue, yet remaining open to the freshness of expression of the moment? Playing to this audience, in this state, now, requires openness to specificity, to interpretation, a working dynamicism that mere rote learning will not provide. Chaffin, Imreh and Crawford’s innovative and detailed research suggests that the key to this skill is a declarative mental roadmap aiding musical performance. This hypothesis is neatly and unintentionally summarized by professional pianist Imreh, who states when learning a new piece of music “My fingers were playing the notes just fine. The practice I needed was in my head. I had to learn to keep track of where I was. It was a matter of learning exactly what I needed to be thinking of as I played, and at exactly what point.

We investigate flexibility and problem solving in skilled action. We conducted a field study of mountain bike riding that required a learner rider to cope with major changes in technique and equipment. Our results indicate that relatively inexperienced individuals can be capable of fairly complex 'on-the-fly' problem solving which allows them to cope with new conditions. This problem solving is hard to explain for classical theories of skill because the adjustments are too large to be achieved by automatic mechanisms and too complex and rapid to be achieved by cognitive processes as they are usually understood. A recent theory, Mesh, can explain these results because it posits that skill-specific cognitive abilities develop during skill learning and that control typically involves an interplay between cognitive and automatic mechanisms. Here we develop Mesh further, providing a detailed explanation for these problem solving abilities. We argue that causal representation, metacognitive awareness and other forms of performance awareness combine in the formulation and control of action strategies. We also argue that the structure of control present in this case is inconsistent with Bratman's model of intentions, and that, in the face of high uncertainty and risk, intentions can be much more labile than Bratman recognises. In addition, we found limitations and flaws in problem solving which illuminate the representations involved. Finally, we highlight the crucial role of social and cultural learning in the development of complex skills.

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

Donald Campbell has long advocated a naturalist epistemology based on a general selection theory, with the scope of knowledge restricted to vicarious adaptive processes. But being a vicariant is problematic because it involves an unexplained epistemic relation. We argue that this relation is to be explicated organizationally in terms of the regulation of behavior and internal state by the vicariant, but that Campbell's selectionist approach can give no satisfactory account of it because it is opaque to organization. We show how organizational constraints and capacities are crucial to understanding both evolution and cognition and conclude with a proposal for an enriched, generalized model of evolutionary epistemology that places high-order regulatory organization at the center

Standard approaches to cognition emphasise structures (representations and rules) much more than processes, in part because this appears to be necessary to capture the normative features of cognition. However the resultant models are inflexible and face the problem of computational intractability. I argue that the ability of real world cognition to cope with complexity results from deep and subtle coupling between cognitive and non-cognitive processes. In order to capture this, theories of cognition must shift from a structural rule-defined conception of cognition to a thoroughgoing embedded process approach.

Part I [sections 2–4] draws out the conceptual links between modern conceptions of teleology and their Aristotelian predecessor, briefly outlines the mode of functional analysis employed to explicate teleology, and develops the notion of cybernetic organisation in order to distinguish teleonomic and teleomatic systems. Part II is concerned with arriving at a coherent notion of intentional control. Section 5 argues that intentionality is to be understood in terms of the representational properties of cybernetic systems. Following from this, section 6 argues that intentional control needs to be seen as a particular type of relationship between the system and its environment.

In recent years, a number of approaches to social cognition research have emerged that highlight the importance of embodied interaction for social cognition (Reddy, How infants know minds, 2008; Gallagher, J Conscious Stud 8:83–108, 2001; Fuchs and Jaegher, Phenom Cogn Sci 8:465–486, 2009; Hutto, in Seemans (ed.) Joint attention: new developments in psychology, philosophy of mind and social neuroscience, 2012). Proponents of such ‘interactionist’ approaches emphasize the importance of embodied responses that are engaged in online social interaction, and which, according to interactionists, present an alternative to mindreading as a source of social understanding. We agree that it is important to take embodied interaction seriously, but do not agree that this presents a fundamental challenge to mainstream mindreading approaches. Drawing upon an analogy between embodied interaction and the exercise of expert skills, we advocate a hierarchical view which claims that embodied social responses generally operate in close conjunction with higher-level cognitive processes that play a coordinative role, and which are often sensitive to mental states. Thus, investigation of embodied responses should inform rather than conflict with research on mindreading

Understanding when it is acceptable to interrupt a joint activity is an important part of understanding what cooperation entails. Philosophical analyses have suggested that we should release our partner from a joint activity anytime the activity conflicts with fulfilling a moral obligation. To probe young children’s understanding of this aspect, we investigated whether 3-year-old children (N = 60) are sensitive to the legitimacy of motives (selfish condition vs. moral condition) leading agents to intentionally interrupt their joint activity. We measured whether children protested or released their partner by scoring their reactions. Our results indicate that children did not manifest different reactions when the motive behind their partner leaving was moral than when the motive was selfish. However, our data showed a stable pattern: regardless of the partner’s motives, some 3-year-olds take initiatives to release their partners from joint activity, suggesting that measuring release is a valuable tool for investigating joint action.

Sterelny's Thought in a Hostile World ([2003]) presents a complex, systematically structured theory of the evolution of cognition centered on a concept of decoupled representation. Taking Godfrey-Smith's ([1996]) analysis of the evolution of behavioral flexibility as a framework, the theory describes increasingly complex grades of representation beginning with simple detection and culminating with decoupled representation, said to be belief-like, and it characterizes selection forces that drive evolutionary transformations in these forms of representation. Sterelny's ultimate explanatory target is the evolution of human agency. This paper develops a detailed analysis of the main cognitive aspects. It is argued that some of the major claims are not correct: decoupled representation as defined doesn't capture belief-like representation, and, properly understood, decoupled representation turns out to be ubiquitous among multicellular animals. However, some of the key ideas are right, or along the right lines, and suggestions are made for modifying and expanding the conceptual framework

The general structure of Steels & Belpaeme's (S&B's) central premise is appealing. Theoretical stances that focus on one type of mechanism miss the fact that multiple mechanisms acting in concert can provide convergent constraints for a more robust capacity than any individual mechanism might achieve acting in isolation. However, highlighting the significance of complex constraint interactions raises the possibility that some of the relevant constraints may have been left out of S&B's own models. Although abstract modeling can help clarify issues, it also runs the risk of oversimplification and misframing. A more subtle implication of the significance of interacting constraints is that it calls for a close relationship between theoretical and empirical research.

How do concert pianists commit to memory the structure of a piece of music like Bach’s Italian Concerto, learning it well enough to remember it in the highly charged setting of a crowded performance venue, yet remaining open to the freshness of expression of the moment? Playing to this audience, in this state, now, requires openness to specificity, to interpretation, a working dynamicism that mere rote learning will not provide. Chaffin, Imreh and Crawford’s innovative and detailed research suggests that the key to this skill is a declarative mental roadmap aiding musical performance. This hypothesis is neatly and unintentionally summarized by professional pianist Imreh, who states when learning a new piece of music “My fingers were playing the notes just fine. The practice I needed was in my head. I had to learn to keep track of where I was. It was a matter of learning exactly what I needed to be thinking of as I played, and at exactly what point. . .” (Chaffin & Imreh 1997, p.326).

ABSTRACTIn keeping with the dominant view that skills are largely automatic, the standard view of memory systems distinguishes between a representational declarative system associated with cognitive processes and a performance-based procedural system. The procedural system is thought to be largely responsible for the performance of well-learned skilled actions. Here we argue that most skills do not fully automate, which entails that the declarative system should make a substantial contribution to skilled performance. To support this view, we review evidence showing that the declarative system does indeed play a number of roles in skilled action.

Tim van Gelder, following Brandom, Collins and others, uses the so‐called wide content of capacities which support social, norm governed activities, such as language, to argue for their anti‐natural, abstract, but socially instituted nature and thence for the failure of the entire traditional mind‐body discussion as ill‐posed. We argue that his former conclusion is wrong, that such properties are naturalisable, complicated organisational properties of the complexly organised, non‐linearly interactive systems that human beings are. This analysis also provides principled support, but on other grounds, for van Gelder’s latter conclusion. We outline a new naturalist approach to the organisational capacities of such systems that is intended to ground their biological, cognitive and social characters.

This paper outlines an original interactivist-constructivist approach to modelling intelligence and learning as a dynamical embodied form of adaptiveness and explores some applications of I-C to understanding the way cognitive learning is realized in the brain. Two key ideas for conceptualizing intelligence within this framework are developed. These are: intelligence is centrally concerned with the capacity for coherent, context-sensitive, self-directed management of interaction; and the primary model for cognitive learning is anticipative skill construction. Self-directedness is a capacity for integrative process modulation which allows a system to "steer" itself through its world by anticipatively matching its own viability requirements to interaction with its environment. Because the adaptive interaction processes required of intelligent systems are too complex for effective action to be prespecified learning is an important component of intelligence. A model of self-directed anticipative learning is formulated based on interactive skill construction, and argued to constitute a central constructivist process involved in cognitive development. SDAL illuminates the capacity of intelligent learners to start with the vague, poorly defined problems typically posed in realistic learning situations and progressively refine them, transforming them into problems with sufficient structure to guide the construction of a solution. Finally, some of the implications of I-C for modelling of the neuronal basis of intelligence and learning are explored; in particular, Quartz and Sejnowski's recent neural constructivism paradigm, enriched by Montague and Sejnowski's dopaminergic model of anticipative-predictive neural learning, is assessed as a promising, but incomplete, contribution to this approach. The paper concludes with a fourfold reflection on the divergence in cognitive modelling philosophy between the I-C and the traditional computational information processing approaches

In this paper, I discuss connections between self-directedness, integration and higher cognition. I present a model of self-directedness as a basis for approaching higher cognition from a situated cognition perspective. According to this model increases in sensorimotor complexity create pressure for integrative higher order control and learning processes for acquiring information about the context in which action occurs. This generates complex articulated abstractive information processing, which forms the major basis for higher cognition. I present evidence that indicates that the same integrative characteristics found in lower cognitive process such as motor adaptation are present in a range of higher cognitive process, including conceptual learning. This account helps explain situated cognition phenomena in humans because the integrative processes by which the brain adapts to control interaction are relatively agnostic concerning the source of the structure participating in the process. Thus, from the perspective of the motor control system using a tool is not fundamentally different to simply controlling an arm.

In order to investigate cognition fundamental assumptions must be made about what, in general terms, it is. In cognitive science it is usually assumed that cognition is computational and representational. There have been well known disputes over these assumptions, with rival claims that cognition is dynamical, situated and embodied. In this paper I emphasize the relations between cognition and control. I present a model of cognition that makes the claim that it is a form of high-order control, and I argue that viewing cognition as high-order control could be a useful framework assumption for cognitive science. Cognition has many aspects and different concepts can emphasize different aspects of it. Computational and representational assumptions have been very productive, and dynamical and embodied assumptions have also been productive, though to a much lesser extent so far. Control, however, has received insufficient attention in cognition science. The model I propose is based on a point that few will dispute, namely that control of behavior is the ultimate function of cognition. Bringing this to the foreground can be productive by highlighting the ways in which cognition is structured in relation to this control function. If this perspective is valuable it will be because the control function has a highly structuring effect on cognition. As a result a control-based perspective will predict many features of cognition and yield a coherent, integrated picture