The current viewpoint on technology seems to derive from the optimistic idea of the existence of pre-established harmony that any technological progress leads to people's health, and welfare. But history has shown us that this is not always the case, and that we must select the proper direction which leads to health and welfare. For that purpose, this article presents the viewpoint of technology as a kind of human care service, along with the lessons from nursing theories. Five leading nursing (...) theories are introduced as well as their implications for technology. ‘The nursing model of technology’ is then presented. (shrink)

In this commentary, we question (1) how embodied Thelen et al.'s model is relative to their aims, and (2) how embodied the behavior of children is in particular response systems, relative to how much dynamic systems theory emphasizes this idea. We close with corrections to mischaracterizations of an alternative, neural network perspective on infant behavior.

The developmental modeling approach to investigating developmental disorders appears highly promising. In this commentary, we question the untapped potential of this approach for supporting insights into particular developmental disorders, developmental processes across the life span, and the viability of traditional theories of developmental disorders.

Despite growing interest in improving cognitive abilities across the lifespan through training, the benefits of cognitive training are inconsistent. One powerful contributor may be that individuals arrive at interventions with different baseline levels of the cognitive skill being trained. Some evidence suggests poor performers benefit the most from cognitive training, showing compensation for their weak abilities, while other evidence suggests that high performers benefit most, experiencing a magnification of their abilities. Whether training leads to compensation or magnification effects may depend (...) upon the specific cognitive domain being trained and the training approach implemented. To clarify the association between individual differences in baseline cognitive ability and training gains as well as potential moderators, we conducted a systematic meta-analysis of the correlation between these two variables. We found evidence of a significant meta-correlation demonstrating a compensatory effect, a negative association between initial ability on a trained cognitive process and training gains. Too few papers met our search criteria across the levels of proposed moderators of cognitive domain and training approach to conduct a reliable investigation of their influence over the meta-analytic effect size. We discuss the implications of a compensatory meta-correlation, potential reasons for the paucity of qualifying papers, and important future directions for better understanding how cognitive trainings work and for whom. (shrink)

Arthur Danto's work has always affirmed a deep relationship between philosophy and art. These essays explore this relationship through a number of concrete cases in which either artists are driven by philosophical agendas or their art is seen as solving philosophical problems in visual terms. The essays cover a varied terrain, with subjects including Giotto's use of olfactory data in _The Raising of Lazarus; _chairs in art and chairs as art; Mel Bochner's Wittgenstein drawings; the work of Robert Motherwell, Andy (...) Warhol, and Robert Irwin; Louis Kahn as "Archai-Tekt"; and visual truth in film. Also featured are a meditation on the battle of Gettysburg; and a celebration of the Japanese artist Shiko Munakata, an essay that is partly autobiographical. Arthur C. Danto is one of the most original and multitalented philosophers writing today, a thinker whose interests traverse the boundaries of traditional understandings of philosophy. Best known for his contributions to the philosophy of art and aesthetics, Danto is also esteemed for his work in the history of philosophy, the philosophy of history, philosophical psychology, and action theory. These two volumes, each with an introduction by the author, contain essays spanning more than twenty-five years that have been selected to highlight the inseparability of philosophy and art in Danto's work. Together they present the thinking of Arthur C. Danto at his very best. (shrink)

This article delineates two dimensions along which computational models of face processing may vary, and briefly review three such models, the Dailey and Cottrell model; the O'Reilly and Munakata model; and the Riesenhuber and Poggio. It focuses primarily on one of the models and shows how this model is used to reveal potential mechanisms underlying the neural processing of faces and objects—the development of a specialized face processor, how it could be recruited for other domains, hemispheric lateralization of face (...) processing, facial expression processing, and the development of face discrimination. It turns to the Riesenhuber and Poggio model to describe the elegant way it has been used to predict functional magnetic resonance imaging data on face processing. The overall strategy of these modeling efforts is to sample problems that are constrained by neurophysiological and behavioral data, and to stress the ways in which models can generate novel hypotheses about the way humans process faces. (shrink)

This commentary focuses on how Dienes & Perner's (D&P's) claims relate to aspects of development. First, I discuss recent research that supports D&P's claim that anticipatory looking in a false belief task is guided by implicit knowledge. Second, I argue that implicit knowledge may be based on exposure to regularities in the world as D&P argue, but equally, it may sometimes be based on theories that conflict with real world regularities. Third, I discuss Munakata et al.'s notion of graded (...) representations as an alternative to the implicit-explicit distinction in explaining dissociations in infancy. (shrink)

In this paper I aim to present an explanation of object permanence that is derived from an ecological account of perceptually based action. In understanding why children below a certain age do not search for occluded objects, one must first understand the process by which these children perform certain intentional actions on non-occluded items; and to do this one must understand the role affordances play in eliciting retrieval behaviour. My affordance-based explanation is contrasted with Shinskey and Munakata's graded representation (...) account; and although I do not reject totally the role representations play in initiating intentional action I nevertheless maintain that only by incorporating direct perception into an account of object permanence can a fuller understanding of this phenomenon be achieved. (shrink)

The goal of computational cognitive neuroscience is to understand how the brain embodies the mind by using biologically based computational models comprised of networks of neuronlike units. This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the field. The neural units in the simulations use equations based directly on the ion channels that govern the behavior of real neurons and the neural (...) networks incorporate anatomical and physiological properties of the neocortex. Thus the text provides the student with knowledge of the basic biology of the brain as well as the computational skills needed to simulate large-scale cognitive phenomena. (shrink)

Just like the sequel to a successful movie, O’Reilly and Munakata’s “Computational Explorations in Cognitive Neuroscience” aims to follow up and expand on the original 1986 “Parallel Distributed Processing” volumes edited by James McClelland, David Rumelhart and the PDP research group. This kinship, which is explicitly recognized by the authors as the book is prefaced by Jay McClelland, is perceptible throughout Computational Explorations: Not only does this volume visit many of the problems and paradigms that the original books were (...) focused on (so making Computational Explorations feel more like a remake than like a sequel), but there also is an instantly recognizable, and clearly “psychological” approach to the role of computational modelling in the cognitive neurosciences. The result is a highly effective, wonderful introduction to the ideas, methods, and problems that characterize this still burgeoning domain. (shrink)